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- Added utilities for frequency planning

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- Changed freq plane to: Fs 4096, int/dec 8X, Mixers 768
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canisio
2026-03-27 12:50:10 -03:00
parent d5bbdfb435
commit 584db6233c
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utilities/rxadcfs.m Normal file
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function T = rxadcfs(fl, fh, mts)
%Use this function to find allowable frequencies
%
%%
% SYNTAX: T = rxadcfs(fl, fh, mts(optional));
%
% DESCRIPTION: Apply the bandpass sampling theorem and Nyquist sampling theorem
% to calculate all good sampling rates to avoid spectral overlap.
%
% INPUT: - fl (real double)
% Lowest frequency of the real-valued bandpass signal. Unit =
% Hz.
%
% - fh (real double)
% Highest frequency of the real-valued bandpass signal. Unit =
% Hz.
% - mts set to 1 to limit results for use with multi tile
% sync enables
%
% OUTPUT: - T (table)
% Table of all good sampling rates. Valid columns are:
%
% T.theory = either 'Bandpass' (for Bandpass sampling theorem)
% or 'Nyquist' (for Nyquist sampling theorem).
%
% T.n = n is variable in the Bandpass sampling theorem and n
% is an integer. n is NaN for Nyquist sampling theorem.
%
% T.Fs_LO_Hz = lowest sampling rate in Hz.
%
% T.Fs_HI_Hz = highest sampling rate in Hz.
%
%% Initialize s.
s = struct;
s.Theory = categorical({});
s.n = [];
s.Fs_LO_Hz = [];
s.Fs_HI_Hz = [];
if (nargin == 3) && mts == 1
mtsList = [737.28, 1474.56, 1966.08, 2457.6, 2949.12, 3072, 3932.16, 4669.44, 4915.2, 5898.24, 6144];
%% Bandpass Sampling Theorem. Calculate all good sampling rates.
for n = floor(fh / (fh - fl)) : -1 : 2
% look for valid mts frequencies only if selected
for mtsIndex = 1:length(mtsList)
if mtsList(mtsIndex)*1e6 >= 2 * fh / n && mtsList(mtsIndex)*1e6 <= 2 * fl / (n - 1)
s.Theory(end+1, 1) = 'Bandpass';
s.n(end+1, 1) = n;
s.Fs_LO_Hz(end+1, 1) = mtsList(mtsIndex);%2 * fh / n;
s.Fs_HI_Hz(end+1, 1) = mtsList(mtsIndex);%2 * fl / (n - 1);
end %if mtsList...
end %for mtsIndex...
end %for n = floor...
else
%% Bandpass Sampling Theorem. Calculate all good sampling rates.
for n = floor(fh / (fh - fl)) : -1 : 2
s.Theory(end+1, 1) = 'Bandpass';
s.n(end+1, 1) = n;
s.Fs_LO_Hz(end+1, 1) = 2 * fh / n;
s.Fs_HI_Hz(end+1, 1) = 2 * fl / (n - 1);
end
end
if (nargin == 3) && mts == 1
mtsList = [737.28, 1474.56, 1966.08, 2457.6, 2949.12, 3072, 3932.16, 4669.44, 4915.2, 5898.24, 6144];
%% Nyquist Sampling Theorem. Calculate all good sampling rates.
for mtsIndex = 1:length(mtsList)
if mtsList(mtsIndex)*1e6 >= 2 * fh && mtsList(mtsIndex)*1e6 <= inf
s.Theory(end+1, 1) = 'Nyquist';
s.n(end+1, 1) = NaN;
s.Fs_LO_Hz(end+1, 1) = mtsList(mtsIndex);%2 * fh;
s.Fs_HI_Hz(end+1, 1) = mtsList(mtsIndex);%Inf;
end
end
else
%% Nyquist Sampling Theorem. Calculate all good sampling rates.
s.Theory(end+1, 1) = 'Nyquist';
s.n(end+1, 1) = NaN;
s.Fs_LO_Hz(end+1, 1) = 2 * fh;
s.Fs_HI_Hz(end+1, 1) = Inf;
end
%% Convert s to T.
T = struct2table(s);
end