The algorithm procedure is pretty simple (see "Belfiori F., Application of 2D MUSIC Algorithm to Range-Azimuth FMCW Radar data" or " Manokhin G., MUSIC-based algorithm for range-azimuth FMCW radar data processing without estimating number of targets"). Is there any problem with "aa"?
2D MUSIC algorithm for range-azimuth FMCW data processing
조회 수: 7 (최근 30일)
이전 댓글 표시
Hi, I want to draw a map of range-azimuth. I can achieve 1D music, but there is some problem with 2D music for range-azimuth.
%X_ is the signal.
J = fliplr(eye(m1*m2,m1*m2));
Cx_ = 1/(2*p1*p2)*(X_*X_' + J*(X_*X_')*J);
[EV,D] = eig(Cx_); %D for eigenvalues and EV for eigenvector
EVA_temp = diag(D)';
[EVA,I] = sort(EVA_temp);
Sort_EV = fliplr(EV(:,I)); %eig
% W_ = Sort_EV(:,K+1:end); %(m1*m2)*(m1*m2-K)
W_ = Sort_EV(:,4:end);
for r = 1:length(VecR)
for theta = 1:length(VecA)
a_1 = [];
for mm1 = 0:m1-1
tao_i(mm1+1) = 2/c*( VecR(r) + mm1*d*sin(VecA(theta)) );
aa = exp(1i*2*pi*tao_i(mm1+1)*(linspace(fc,fc+alpha*(m2-1)/fs,m2) ) ); %0-
a_1 = cat(2,a_1,aa);
end
a = a_1.';
Smusic(r,theta) = 1/(a'*W_*W_'*a);
end
end
S_ = Smusic/(max(max(Smusic)));
figure,imagesc(VecA*180/pi,VecR(1:50),log(abs(S_)));xlabel('Azimuth(deg)');ylabel('Range(m)');title('range-azimuth');
% figure,imagesc(abs(Smusic));
댓글 수: 0
답변 (1개)
Shirleyuue Jiang
2019년 8월 22일
댓글 수: 5
Kun-Lin Hsieh
2020년 7월 23일
Hi Shirleyuue Jiang
I'm working on implementing this algorithm as well, and trying to extend it into a 3D problem by considering elevation dimention. However, there are some problem I met, and I'm even not sure if I have completely realize the whole procedure of this algorithm. Is it possible to share your code kindly if you have sucessfully completed it? We could also share our results to each other.
Emre Kurtoglu
2020년 8월 11일
Hi all,
Is there any update about this implementation? I am able to implement 1D MUSIC but cannot get results using this method and it takes infinitely long time to process since there are three consecutive 'for' loops.
참고 항목
카테고리
Help Center 및 File Exchange에서 Particle & Nuclear Physics에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!