📄 root_music_doa.m
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function doa=root_music_doa(Y,n,d)
%
% The MUSIC method for direction of arrival estimation
%
% call doa=root_music_doa(Y,n,d)
%
% Y <- the ULA data
% n <- the number of sources
% d <- sensor spacing in wavelengths
% doa -> the vector of DOA estimates
% Copyright 1996 by R. Moses
[m,N]=size(Y);
% compute the sample covariance matrix
R=Y*Y'/N;
% do the eigendecomposition; use svd because it sorts eigenvalues
[U,D,V]=svd(R);
G=U(:,n+1:m);
GG = G*G';
% find the coefficients of the polynomial in (4.5.16)
a = zeros(2*m-1,1);
for j=-(m-1):(m-1)
a(j+m) = sum( diag(GG,j) );
end
% find the n roots of the a polynomial that are nearest and inside the unit circle,
ra=roots([a]);
rb=ra(abs(ra)<1);
% pick the n roots that are closest to the unit circle
[dumm,I]=sort(abs(abs(rb)-1));
w=angle(rb(I(1:n)));
% compute the doas
doa=asin(w/d/pi/2)*180/pi;
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