Sound source localization using Phased Array System Toolbox

Yes, you can use a filter bank to sub-divide your wideband sounds into narrowband components and then apply narrowband DoA tools to each sub-band separately. This approach is valid and can help you estimate the overall DoA for wideband signals.

 Steps to Follow:

1. Sub-divide Wideband Signals: Use a filter bank to split the wideband signal into multiple narrowband components.
2. Apply Narrowband DoA Tools: Use narrowband DoA estimation tools like MUSIC or Capon's method on each sub-band.
3. Combine DoA Estimates: Combine the DoA estimates from each sub-band to get an overall DoA estimate.

 Example Approach:

1. Filter Bank: Use a filter bank to divide the wideband signal into sub-bands.
2. DoA Estimation: Apply DoA estimation tools to each sub-band.
3. Combine Results: Use averaging or weighted averaging to combine the DoA estimates from each sub-band.

MATLAB Example:

% Example code to illustrate the process
% Step 1: Filter Bank
[signal, fs] = audioread('wideband_signal.wav');
numBands = 8; % Number of sub-bands
[signalFB, ~, ~] = filterbank(signal, fs, numBands);

% Step 2: DoA Estimation for Each Sub-Band
doaEstimates = cell(1, numBands);
for k = 1:numBands
    [doaEstimates{k}] = phased.MUSIC('SensorArray', sensorArray, signalFB(:, k));
end

% Step 3: Combine DoA Estimates
overallDoA = mean(cell2mat(doaEstimates));

disp(['Overall DoA: ', num2str(overallDoA)]);

 Explanation:
- Filter Bank: Divides the wideband signal into sub-bands.
- DoA Estimation: Applies the MUSIC algorithm to each sub-band.
- Combine Results: Averages the DoA estimates to get the overall DoA.

This method leverages the strengths of narrowband DoA tools while accommodating wideband signals.