Following is my matlab code. Two radar transmitters and on receiver is used. I want to combine the correlation results and extract heart beat and respiration rate. Any help?

% Initialize variables
Fs = 100; % Sampling frequency
duration = 60; % Duration of the recording in seconds
t = 0:1/Fs:duration-1/Fs; % Time vector
N = length(t); % Number of samples
f = (0:N-1)*(Fs/N); % Frequency vector
num_iterations = 10; % Number of iterations to run the code
% Initialize arrays to store heart rate and respiration rate
HR_radar = zeros(1,num_iterations);
RR_radar = zeros(1,num_iterations);
HR_ecg = zeros(1,num_iterations);
RR_ecg = zeros(1,num_iterations);
for i = 1:num_iterations
% Generate a synthetic UWB radar signal
tx1 = 0.5*sin(2*pi*1*t); % Transmitter 1 signal
tx2 = 0.5*sin(2*pi*1*t + pi); % Transmitter 2 signal
rx = tx1 + tx2; % Receiver signal
% Add noise to the receiver signal
rx = rx + 0.1*randn(size(rx));
% Filter the receiver signal to remove noise
[b,a] = butter(2, [0.5 5]/(Fs/2), ‘bandpass’);
rx_filtered = filtfilt(b,a,rx);
% Perform cross-correlation between the transmitter signals and the receiver signal
corr1 = xcorr(tx1, rx_filtered);
corr2 = xcorr(tx2, rx_filtered);
% CombineFollowing is my matlab code. Two radar transmitters and on receiver is used. I want to combine the correlation results and extract heart beat and respiration rate. Any help?

% Initialize variables
Fs = 100; % Sampling frequency
duration = 60; % Duration of the recording in seconds
t = 0:1/Fs:duration-1/Fs; % Time vector
N = length(t); % Number of samples
f = (0:N-1)*(Fs/N); % Frequency vector
num_iterations = 10; % Number of iterations to run the code
% Initialize arrays to store heart rate and respiration rate
HR_radar = zeros(1,num_iterations);
RR_radar = zeros(1,num_iterations);
HR_ecg = zeros(1,num_iterations);
RR_ecg = zeros(1,num_iterations);
for i = 1:num_iterations
% Generate a synthetic UWB radar signal
tx1 = 0.5*sin(2*pi*1*t); % Transmitter 1 signal
tx2 = 0.5*sin(2*pi*1*t + pi); % Transmitter 2 signal
rx = tx1 + tx2; % Receiver signal
% Add noise to the receiver signal
rx = rx + 0.1*randn(size(rx));
% Filter the receiver signal to remove noise
[b,a] = butter(2, [0.5 5]/(Fs/2), ‘bandpass’);
rx_filtered = filtfilt(b,a,rx);
% Perform cross-correlation between the transmitter signals and the receiver signal
corr1 = xcorr(tx1, rx_filtered);
corr2 = xcorr(tx2, rx_filtered);
% Combine Following is my matlab code. Two radar transmitters and on receiver is used. I want to combine the correlation results and extract heart beat and respiration rate. Any help?

% Initialize variables
Fs = 100; % Sampling frequency
duration = 60; % Duration of the recording in seconds
t = 0:1/Fs:duration-1/Fs; % Time vector
N = length(t); % Number of samples
f = (0:N-1)*(Fs/N); % Frequency vector
num_iterations = 10; % Number of iterations to run the code
% Initialize arrays to store heart rate and respiration rate
HR_radar = zeros(1,num_iterations);
RR_radar = zeros(1,num_iterations);
HR_ecg = zeros(1,num_iterations);
RR_ecg = zeros(1,num_iterations);
for i = 1:num_iterations
% Generate a synthetic UWB radar signal
tx1 = 0.5*sin(2*pi*1*t); % Transmitter 1 signal
tx2 = 0.5*sin(2*pi*1*t + pi); % Transmitter 2 signal
rx = tx1 + tx2; % Receiver signal
% Add noise to the receiver signal
rx = rx + 0.1*randn(size(rx));
% Filter the receiver signal to remove noise
[b,a] = butter(2, [0.5 5]/(Fs/2), ‘bandpass’);
rx_filtered = filtfilt(b,a,rx);
% Perform cross-correlation between the transmitter signals and the receiver signal
corr1 = xcorr(tx1, rx_filtered);
corr2 = xcorr(tx2, rx_filtered);
% Combine remote health monitoring MATLAB Answers — New Questions

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