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This version is outdated by a newer approved version.DiffThis version (18 Mar 2016 16:39) was approved by Lucian Sin.The Previously approved version (27 Jan 2016 19:58) is available.Diff

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Table of Contents

MATLAB Filter Design Wizard for AD9361

The AD9361 Filter Design Wizard is a small MATLAB App, which can be used to design transmitter and receiver FIR filters, which take into account the magnitude and phase response from other analog and digital stages in the filter chain. This tool provides not only a general purpose low pass filter designer, but also magnitude and phase equalization for other stages in the signal path.

With this wizard, users can perform the following tasks:

  • Choose correct digital filters to use for receive and transmit.
  • Design the programmable FIR filters, get the filter coefficients and save them in a .ftr file, which can be directly loaded into the hardware.
  • Examine the independent response of each filter, and the composite response of all the filters, including both digital and analog filters.

Videos

Here is a brief introduction on why everyone needs to, and how to use this tool.

3845680080001

Download no-OS

The source code of the no-OS software and the scripts can be downloaded from the Analog Devices github.

Download HDL

Please note that the projects FMCOMMS2, FMCOMMS3 and FMCOMMS4 are using the same hdl design. The ARRADIO Quartus project uses Arradio hdl design.

FMCOMMS2/FMCOMMS3/FMCOMMS4

Hardware Project Carriers Resource Utilization Library Cores
AD-FMCOMMS2-EBZ fmcomms2 kc705 fmcomms2_kc705 axi_ad9361
AD-FMCOMMS3-EBZ kcu105 fmcomms2_kcu105 axi_clkgen
AD-FMCOMMS4-EBZ vc707 fmcomms2_vc707 axi_dmac
zc702 fmcomms2_zc702 axi_hdmi_tx
zc706 fmcomms2_zc706 axi_i2s_adi
zcu102 fmcomms2_zcu102 axi_spdif_tx
zed fmcomms2_zed axi_sysid
sysid_rom
util_clkdiv
util_cpack2
util_i2c_mixer
util_rfifo
util_tdd_sync
util_upack2

FMCOMMS5

Hardware Project Carriers Resource Utilization Library Cores
AD-FMCOMMS5-EBZ fmcomms5 zc702 fmcomms5_zc702 axi_ad9361
zc706 fmcomms5_zc706 axi_clkgen
zcu102 fmcomms5_zcu102 axi_dmac
axi_hdmi_tx
axi_spdif_tx
axi_sysid
sysid_rom
util_clkdiv
util_cpack2
util_rfifo
util_upack2

ARRadio

Hardware Project Carriers Resource Utilization Library Cores
ARRadio arradio c5soc NA axi_ad9361
axi_dmac
axi_hdmi_tx
axi_sysid
sysid_rom
util_cpack2
util_rfifo
util_upack2

Download Linux Image

The BOLD is what you should type. It's not too much more than Special Agent Oso's three special steps, and it also allows you to go for that specialty coffee you have been craving.

For different platforms you'll need different images. Currently we provide a single pre-build images, that can work on all the platforms we support.

Make sure you unzip the image using either 7-zip or on Linux it can be done via command-line xz -d <image_name>.img.xz. The actual file that needs to be dumped to the SD card has to have the *.img extension.
Your SD-card needs to be at least 16 GB for releases 2019-R2 and newer. Or 8 GB for older releases.
If your computer has security restrictions imposed by your company's IT department, which prevent your from writing data to SD-cards (or the data is encrypted when written on the SD-card), then consider using a computer that doesn't have such restrictions, or communicating with your IT department to find a solution.

Now, depending if you are using Linux or Windows, follow these instructions to write the file to your SD card.

Download Filters

PREREQUISITES

In order to run the wizard, your MATLAB license needs to include the following components:

  • MATLAB (R2015b or higher version is required)
  • Signal Processing Toolbox
  • DSP System Toolbox

In addition, in order to generate HDL, your MATLAB license needs to include the following component:

  • Fixed-Point Designer

In order to get the wizard, please go to Analog Devices GitHub. Different releases of AD9361 Filter Design Wizard and their source files can be found here:

For more information about install and running MATLAB apps, please refer to: http://www.mathworks.com/help/matlab/creating_guis/install-and-run-app.html

If using a checkout or unpacked archive, the application can be run in one of two ways:

  • Right click “AD9361_Filter_Wizard.fig” and select “Open in GUIDE” to open the figure. Then type “Ctrl+T” to run the figure.
  • Within the application directory run the command “AD9361_Filter_Wizard” from the MATLAB command line.

The Filter Design Wizard has been applied in the RF Blockset (formerly SimRF) models of AD9361, provided by MathWorks as a hardware support package. Download this version if to be used with the AD9361 RF Blockset (formerly SimRF) model:

To learn more about AD9361 modeling and to download the Tx and Rx models, the hardware support package can be found here:

Download IIO-Oscilloscope

Latest releases (goto this page to download the file):

Download Libiio

The libiio library can be obtained on the Github page of the project.

Libiio installer for Windows

18 Mar 2016 15:24 · Lucian Sin

Use MATLAB App

Generally speaking, there are two ways you can use the design wizard:

  1. MATLAB App: A graphical user interface is created to facilitate the process of filter design. Users can easily define the input, observe the design performance, and specify the way they want to save the results. This is a more straightforward method to use the wizard.
  2. MATLAB function: The link to design functions can be found in the Download section. They are MATLAB functions, which users can launch from the MATLAB command window by properly defining the input parameters. Using this way, users have more control of the internal design process.

In this section, we are going to elaborate on the first option - MATLAB App.

Basic Functions

After you launch the MATLAB App, there shows a drop-down list in “Device Settings”, which includes the default parameter profiles for several widely used LTE applications. You can move the highlight bar to the one you would like to start with.

This table is stored in github.

LTE Specification AD9361 settings
LTE Bandwidth Set 1) Occupied RF Bandwidth Sample Rate Sample Rate FPASS FSTOP APASS ASTOP
MHz MHz MSPS MSPS MHz MHz dB dB
1.4 1.08 1.92 1.92 0.54 0.66 0.1 80
3 2.7 3.84 3.84 1.35 1.65 0.1 80
5 4.5 7.68 7.68 2.25 2.75 0.1 80
10 9 15.36 15.36 4.5 5.5 0.1 80
15 13.5 23.04 23.04 6.75 8.25 0.1 80
20 18 30.72 30.72 9 11 0.1 80

The LTE Release-8 physical layer specification actually supports 105 different bandwidth options (not just the 6 shown above). Occupied RF Bandwidth from between 1.08MHz to 19.8MHz with 180kHz steps complies with the spec, and while these filters can be designed (manually) they are not included as defaults.

In addition, you can also save your favorite parameter settings in this list, such as “foobar (Rx & Tx)” shown in the figure.

Block diagram

Assume that you choose the “LTE10 (Rx & Tx)” profile, after you click it, all the parameters are filled in automatically for you, as shown in the figure below. There are three categories of input parameters: magnitude specifications, frequency specifications, and AD936x clock settings. If you are satisfied with all the parameters, you can go ahead and click “Design Filter” to start the design.

Block diagram

As soon as the design process completes, you will see a magnitude plot displayed on the top half of the GUI, where the specified Fpass, Fstop, Apass and Astop are highlighted in the plot. The x-axis is from 0 to half of the data rate. Below it, on the right, you will see a “Filter Results” portion, where the actual Apass, Astop, the number of FIR taps and the pass band group delay variance are shown. From these numbers, you will get an idea whether the design meets the requirements quantitatively.

If you are interested in more details of the design performance, you can click the “FVTool” buttons left to “Filter Results” to launch the Filter Visualization Tool (fvtool) provided by The MathWorks. For your convenience, we provide this tool on two different frequency scales. One is from 0 Hz to half of the data rate, the other is from 0 Hz up to half of the converter rate.

Block diagram

If you are mainly interested in pass band, click the top button, it will open the following three figures:

  • Magnitude response of half band filters and HB + designed FIR filter.

Block diagram

  • Magnitude Response of the designed FIR only. Besides the magnitude response, you can use the toolbar on the upper left corner (as highlighted in square) to navigate to the other responses, including phase response, group delay response, impulse response, poles/zeros and etc. It will enable you to have a better understanding of the designed FIR.

Block diagram

  • Overall group delay on pass band. For your convenience, the group delay variance has been calculated and indicated on the figure.

Block diagram

If you are interested in the whole frequency band, click the bottom button, it will open the following figure:

  • Magnitude response of half band filters and HB + designed FIR filter. You can easily have a closer observation on certain portion of the magnitude response by using the “Zoom In/Out” functions on the toolbar (as highlighted in square).

Block diagram

For more information about the FVTool, please refer to: http://www.mathworks.com/help/signal/ref/fvtool.html

After the deeper analysis, if you are satisfied with the results and would like to save the designed FIR filter, there are several options you can choose from. These options are in the “Controls” portion on the upper left corner of the GUI.

  • Save object and data to workspace: If you will use the designed filter chain with some other MATLAB functions or Simulink models, you can simply leave it in the workspace by clicking “Save to Workspace” button, as shown in the figure below. After click this button and exit the App, you will find a mfilt.cascade object named “AD9361_Tx_Filter_object” or “AD9361_Rx_Filter_object” depending on whether it is on Tx or Rx.

Block diagram

When you click “Save to Workspace”, besides the filter object, there is also a data structure saved to workspace, which will initialize the SimRF model of FMCOMMS2. The data structure is named “FMCOMMS2_TX_Model_init” or “FMCOMMS2_RX_Model_init”.

For more information about the SimRF model of FMCOMMS2, please refer to: http://www.mathworks.com/hardware-support/analog-devices-rf-transceivers.html

  • Save coefficients to a ftr file: If you will use the designed FIR filter with the IIO Oscilloscope application 2), you can save the FIR coefficients by clicking “Coefficients to ftr File” button, as shown in the figure below.

Block diagram

You need to have designed both the Transmit and Receive filters before you can use the “Coefficients to ftr File” button. Otherwise, this button is grayed out.

After that, a window will pop up, asking you to specify the name and the location of the ftr file, as shown in the figure below.

Block diagram

If you plan to use the Filter Design Wizard with a zyqn-based platform, there are several options available that will facilitate this process. These options are in the “Target (Zynq Board)” portion of the GUI.

  • Connect to the target: In the IP box, you should input the IP address of the target. In Linux system, it can be easily found by the “ifconfig” command. Then, click the “Connect to Target” button.

Block diagram

  • Read clock settings: If a target is detected at the specified IP address, the “Read Clock Settings” button will show up, as shown in the picture below. If you want to overwrite the current clock settings with the ones belong to the target, you can click this button.

Block diagram

  • Save FIR coefficients to the target: If an FIR filter is designed for the target, the FIR coefficients can be saved directly to the target by clicking the “Coefficients to Target” button, as shown in the picture below.

Block diagram

Advanced Functions

The functions introduced so far provide a basic infrastructure to design and observe the FIR filter. If you would like to have more control and functionality, you can turn on the “Advanced” option, as shown in the figure below, which provides you with several more advanced options.

Block diagram

  • Phase Equalization: If you would like to have the FIR filter do phase equalization, you can turn on the “Phase Equalization” option, as shown in the figure below. The main purpose of the phase equalization is to reduce the pass band group delay *variance* brought by analog filters, digital filters and FIR filter, so that for signals at different frequencies, they will be delayed by an almost identical amount when going through the filter chain.

Block diagram

After you click “Design Filter”, the phase equalization part of the FIR design file is executed, and you will get an updated FIR filter design. Comparing the group delay variance in the Results portion, it is decreased from 16.6 ns to 1.52 ns with phase equalization. Also note that when the design process completes, there is an updated target delay number (this number is 0 before phase equalization) shown in the “Filter Options” portion.

Please note the phase equalization process may take a few minutes, depending on the performance of your PC, since it tries to find a best target delay which yields the minimum group delay variance.

Block diagram

  • Astop (FIR): This is a new parameter in magnitude specifications. It specifies the attenuation of FIR (not the composite response), which corresponds to the “dBstop_FIR” input in the design file. This parameter is not needed most of the time, so you can leave it as 0. However, if you do want to play around with it, you can enter a number there. For more information about “dBstop_FIR”, please refer to “Some Notes About dBstop_FIR” at the end of this page.
  • Fcutoff (Analog): This is a new parameter in frequency specifications. It specifies the cutoff frequency of the analog Butterworth filters. By default, this parameter is calculated for you by the App according to the Fpass and Fstop you entered, so you can leave it as it is. However, if you do want to play around with it, you can enter a number there.
  • Use Internal FIR: Due to the constraint on power consumption, some users may not want to use the FIR filter on AD936x. Instead, they want to move the FIR filter implementation on FPGA or some other processors. The Filter Design Wizard can also accommodate this requirement. If you decide not to use the AD936x FIR, you can turn off the “Use Internal FIR” option, as shown in the figure below, and click “Design Filter”. In this case, there is no longer any constraint on the number of the FIR taps, so the design file conducts a minimum order design. Comparing the FIR Taps in the Results portion, it is decreased from 128 to 105 if the AD936x FIR is not used.

Block diagram

  • Generate HDL: Following the previous step, if you decide to have the FIR filter implemented on FPGA, the design wizard can help you generate the HDL code. By clicking “Generate HDL”, the 'fdhdltool' function (http://www.mathworks.com/help/hdlfilter/fdhdltool.html) is called and the Generate HDL dialog box will pop up, as shown in the figure below. There are quite a few options you can choose concerning how you would like the HDL to be generated. In the end, by clicking “Generate”, the HDL will be generated for you.

Block diagram

Toolbar

The icons shown on the toolbar below provide a shortcut to some frequently used functions.

Block diagram

From left to right, the first four icons are related to filter parameter settings:

  • New Filter: It will open the drop-down list for you.
  • Open Filter Design Parameters: It will open a saved parameter setting and load it for you.
  • Save Parameters to File: It has the similar function as “Coefficients to ftr File” button.
  • Save Parameters to Workspace: It has the similar function as “Object to Workspace” button.

The next four icons work on the magnitude response plot shown in the GUI:

  • Zoom In: Click the area of the axes where you want to zoom in, or drag the cursor to draw a box around the area you want to zoom in on.
  • Zoom Out: Click the area of the axes where you want to zoom out, or drag the cursor to draw a box around the area you want to zoom out on.
  • Pan: Interactively pan the view of a plot.
  • Data Cursor: Enable the interactive data cursor mode.

Use MATLAB Functions

In addition to MATLAB App, users can also employ the MATLAB functions to complete the filter design. What they need to do is to launch the MATLAB functions from the MATLAB command window by properly defining the input parameters in a MATLAB structure.

In MATLAB command window, the command is: 

output = design_filter(input)

Please note this method is suitable for those users who have a clear idea about the parameter settings. For those who are not sure about the parameters, the MATLAB App is a better way to start with.

Transmit

According to AD9361 Filter Guide, the TX signal path is as following:

Block diagram

The digital and analog paths are separated by DAC. Before DAC, there are four digital filters. The first one (PROG TX FIR) is a programmable poly-phase FIR filter, which can interpolate by a factor of 1, 2, or 4, or it can be bypassed if not needed. The others (HB1, HB2, HB3 and INT3) are all digital filters with fixed coefficients, and they can be turned on or turned off. After DAC, there are two low-pass analog filters.

Inputs and Outputs

According to the design requirements, the inputs and outputs of the MATLAB function are as following:

Inputs

  1. Fin = Input sample data rate (in Hz)
  2. FIR_interp = FIR interpolation factor
  3. HB_interp = half band filters interpolation factor
  4. DAC_mult = ADC to DAC ratio
  5. PLL_mult = PLL multiplication
  6. Fpass = passband frequency (in Hz)
  7. Fstop = stopband frequency (in Hz)
  8. dBripple = max ripple allowed in passband (in dB)
  9. dBstop = min attenuation in stopband (in dB)
  10. dBstop_FIR = min rejection that TFIR is required to have (in dB)
  11. phEQ = Phase Equalization on (not -1)/off (-1)
  12. int_FIR = Use AD9361 FIR on (1)/off (0)
  13. wnom = analog cutoff frequency (in Hz)

Outputs

  1. tfirtaps = fixed point coefficients for TFIR
  2. txFilters = system object for visualization (PROG FIR + HBs, analog filters not included)

Receive

According to AD9361 Filter Guide, the RX signal path is as following:

Block diagram

The analog and digital paths are separated by ADC. Before ADC, there are two low-pass analog filters. After ADC, there are three digital filters with fixed coefficients (HB3/DEC3, HB2, HB1) followed by a programmable poly-phase FIR filter (PROG RX FIR). The FIR filter can be decimated by a factor of 1, 2, or 4, or it can be bypassed if not needed.

Inputs and Outputs

According to the design requirements, the inputs and outputs of the MATLAB function are as following:

Inputs

  1. Fout = Output sample data rate (in Hz)
  2. FIR_interp = FIR decimation factor
  3. HB_interp = half band filters decimation factor
  4. PLL_mult = PLL multiplication
  5. Fpass = passband frequency (in Hz)
  6. Fstop = stopband frequency (in Hz)
  7. dBripple = max ripple allowed in passband (in dB)
  8. dBstop = min attenuation in stopband (in dB)
  9. dBstop_FIR = min rejection that TFIR is required to have (in dB)
  10. phEQ = Phase Equalization on (not -1)/off (-1)
  11. int_FIR = Use AD9361 FIR on (1)/off (0)
  12. wnom = analog cutoff frequency (in Hz)

Outputs

  1. rfirtaps = fixed point coefficients for RFIR
  2. rxFilters = system object for visualization (HBs + PROG FIR, analog filters not included)

Example: Tx LTE-5

In this section, we present the results for LTE-5 transmit signal path by using the MATLAB function. The input parameters are as following:

  1. Fin = 7.68e6
  2. FIR_interp = 2
  3. HB_interp = 8
  4. DAC_mult = 1
  5. PLL_mult = 8
  6. Fpass = 2.25e6
  7. Fstop = 2.75e6
  8. dBripple = 0.125
  9. dBstop = 85
  10. dBstop_FIR = 0
  11. phEQ = -1
  12. int_FIR = 1
  13. wnom = 3.389e6

Therefore, in MATLAB command window, the command is: 

output = design_filter(input)

After this command is executed, in the command window, you will see the two output parameters:

  1. tfirtaps: 128-tap FIR coefficients
  2. txFilters: object of the transmit filter chain (digital part)

We can observe the independent filter, as well as the composite response by specifying the stage of the object. For example, 

TFIR = txFilters.Stage(1);
HB1 = txFilters.Stage(2).Stage(1);

If you are interested in the filter response of HB1, you can proceed to apply the fvtool on HB1, 

hfvt1 = fvtool(HB1,...
    'FrequencyRange','Specify freq. vector', ...
    'FrequencyVector',linspace(0,122.88e6/2,2048),'Fs',122.88e6,...
    'ShowReference','off','Color','White');
set(hfvt1, 'Color', [1 1 1]);
set(hfvt1.CurrentAxes, 'YLim', [-100 1]);
legend('HB1');

and you will get:

Block diagram

Key Steps in Design

In this section, we will talk about the key steps in AD9361 filter design. Referring to this section, you will have a better understanding of the MATLAB design files. Later on, if you would like to implement your own design algorithm, you can edit the design files to incorporate your changes.

The AD9361 filter design file can be found here:

Based on the structure of Tx and Rx filters, in the design process, we first need to determine which half band digital filters should be included. We then design the programmable FIR filter and get its coefficients. In the end, we complete the design and return the whole filter chain in an object. Since both Tx and Rx designs follow a similar workflow, the following steps take the Tx side for example.

Define Filters

Define Analog Filters

For the analog part, there is a third-order Butterworth low-pass filter and a single-pole low-pass filter on the Tx side. Both of them can be easily defined by the MATLAB function butter 3) . 

[b1,a1] = butter(3,2*pi*wc,'s');     % 3rd order
[b2,a2] = butter(1,2*pi*wreal,'s');  % 1st order
Define Half Band Filters

The digital filters with fixed coefficients can be easily defined by referring to the AD9361 filter guide. Since they are interpolation filters on transmit path, the coefficients declaration is followed by the mfilt.firinterp 4) function.

Take HB1 for example, the full-scale range for this filter is 2^13, and it has an interpolation factor of 2, so its coefficients are scaled by 2^(-14). 

% Define the filters with fixed coefficients
hb1 = 2^(-14)*[-53 0 313 0 -1155 0 4989 8192 4989 0 -1155 0 313 0 -53];
Hm1 = mfilt.firinterp(2,hb1);

If your MATLAB license includes Fixed-Point Designer, the Hm1 object can be further defined in a fixed point format, which is a better representation of the real hardware: 

set(Hm1,'arithmetic','fixed');
Hm1.InputWordLength = 16;
Hm1.InputFracLength = 14;
Hm1.FilterInternals = 'SpecifyPrecision';
Hm1.OutputWordLength = 16;
Hm1.OutputFracLength = 14;
Hm1.CoeffWordLength = 16;

Determine Half-band Filters

Since there are 4 digital half-band filters on the TX signal path, there are a finite number of interpolations they can provide. Therefore, the digital half-band filters are picked up according to the overall interpolation factor required by the user.

Design TFIR

Ideally, when the whole filter chain is completed, it will have flat response of magnitude 1 on passband, and magnitude 0 on stopband, call it Filter(\omega). Since in the previous step, we have already picked up the digital filters, we can get the filter response without TFIR, call it Filter1(\omega). Therefore, the required response of TFIR is:

TFIR(\omega)={Filter(\omega)}/{Filter1(\omega)}.

On passband, the required response rg and the weight w is: 

rg1 = freqz(Filter1,omega,Fdac).*analogresp('Tx',omega,Fdac,b1,a1,b2,a2);
rg2 = exp(-1i*2*pi*omega*delay);
rg = rg2./rg1;
w = abs(rg1)/(dBinv(dBripple/2)-1);

For the analog filters, unlike digital filter, there is no “cascade” function to combine them and quickly calculate the composite response, so we made a helper function analogresp to calculate the overall response of the two analog filters and the converter. On the Tx side, the DAC is represented by a sinc function. While on the Rx side, the ADC is represented by a sinc^3 function.

https://github.com/analogdevicesinc/ad936x-filter-wizard/blob/master/analogresp.m

On stopband, the required response rg = 0 and the weight w is: 

wg1 = abs(freqz(Filter1,omega(Gpass+2:end),Fdac).*analogresp('Tx',omega(Gpass+2:end),Fdac,b1,a1,b2,a2));
wg2 = (sqrt(FIR_interp)*wg1)/(dBinv(-dBstop));
wg3 = dBinv(dBstop_FIR);
wg = max(wg2,wg3);

One other constraint about TFIR is the number of filter taps. In the AD9361 Filter Guide, it says “the number of taps is configurable between a minimum of 16 taps and a maximum of 128 taps in groups of 16”. Therefore, the following piece of code calculates the tap number N: 

% Determine the number of taps for TFIR
switch tfirint
    case 1
        Nmax = 64;
    case 2
        Nmax = 128;
    case 4
        Nmax = 128;
end
 
N = min(16*floor((Fdac*DAC_mult)/(2*Fin)),Nmax);

Given the tap number N, the required response on passband and stopband (A1 and A2), as well as the corresponding weights (W1 and W2), we can now use fdesign.arbmag 5) function to design the TFIR filter. In the following piece, B=2, which means there are two bands in the design. 

d = fdesign.arbmag('N,B,F,A',N-1,B,F1,A1,F2,A2);
Hd = design(d,'equiripple','B1Weights',W1,'B2Weights',W2,'SystemObject',true);

The design of the TFIR is saved in the system object Hmd. In order to get the 16-bit filter coefficients, the following line is used: 

tfirtaps = Hmd.Numerator.*(2^16);

Visualization

fvtool opens FVTool and displays the magnitude response of the digital filter defined with the system object. Using FVTool you can display the phase response, group delay, impulse response, step response, pole-zero plot, and coefficients of the filter.

For example, the following piece of code use fvtool to display the TFIR filter we just designed in the previous step. Hmd is the corresponding system object: 

fvtool(...
    Hmd,...
    'FrequencyRange','Specify freq. vector', ...
    'FrequencyVector',linspace(0,clkTFIR/2,2048),'Fs',...
    clkTFIR, ...
    'ShowReference','off','Color','White','Legend','off');

Some Notes About dBstop_FIR

The “dBstop_FIR” variable insures a ceiling where no matter how much rejection comes from external filters, the FIR filter is required to have a minimum rejection. To understand the reason for this, imagine that at some frequency we need 60dB of rejection and we have an external filter that gives us 75dB of rejection. If the FIR filter gave us 15dB of gain at that frequency, we would be meet the frequency response. However having gain in a stop band would cause the filter to resonate strongly at that frequency which would result in time domain problems such as very large coefficients and over-ranging of signals at that frequency. “dBstop_FIR” limits this concern.

Picking up a proper dBstop_FIR value is a very important step in designing the filter. Since it determines the weight values on stopband, different dBstop_FIR will result in very different filter responses. It is suggested to try different dBstop_FIR values and observe the time-domain coefficients (it is desired to have smooth coefficients) and frequency-domain responses (passband ripple & stopband attenuation) until you pick up a the one which shows the best combination of everything.

Generally speaking, dBstop_FIR plays a more important role in narrow bandwidth filter design than in wide bandwidth filter design. It can even be omitted when designing a filter with wide bandwidth.

Support

If you have any questions about these scripts/tools, please ask on the EngineerZone. Help & Support.

1)
Release-8
2)
IIO_Oscilloscope
3)
Butterworth filter design
4)
FIR filter-based interpolator
5)
Arbitrary response magnitude filter specification object
resources/eval/user-guides/ad-fmcomms2-ebz/software/filters.1458314810.txt.gz · Last modified: 18 Mar 2016 16:26 by Lucian Sin

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