PUMA:DOA估计模式的改进实现附Matlab代码

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? 内容介绍

到达方向(DOA)估计是许多应用中的重要问题。实际上,由于相干信号的发生和/或当可用快照的数量较小时,准确地找到DOA是一个挑战。此问题通过新的增强的模态分析主奇异矢量利用(EPUMA)DOA估计方法重新审视,该方法通过首先为$ K $源生成$(P + K)$ DOA候选对象来提高阈值性能,其中$ Pgeq K $,然后明智地从中选择$ K $。从理论上推导了EPUMA的渐近方差,并提供了数值结果来验证渐进分析并说明EPUMA的实际优点。

? 部分代码

clc;clear;close all;

%% If you find the code useful, please cite our paper

% C. Qian, L. Huang, M. Cao, H. C. So and J. Xie, “PUMA: An improved realization of MODE for DOA estimation,” IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 5, pp. 2128-2139, 2017.

% C. Qian, L. Huang, N. D. Sidiropoulos and H. C. So, “Enhanced PUMA for direction-of-arrival estimation and its performance analysis,” IEEE Transactions on Signal Processing, vol.64, no.16, pp.4127-4137, 2016.

%%

M = 10;

N = 50;

DOA = [-5, 2, 12];

K = length(DOA);

SNR = linspace(-10,6,11);

nT = 100;

for iS = 1:length(SNR)

snr = SNR(iS);

for iT = 1:nT

if rem(iT,nT/2) == 0

fprintf( ‘n = %d, Trials = %d, total = %d\n’,…

iS, iT, (iS-1)*nT+iT );

end

x = StatSigGenerate(M, N, DOA, snr*ones(1,K));

doa1(:,iT) = EPUMA(x, K, K, 3);

doa2(:,iT) = EPUMA(x, K, K+1, 3);

doa3(:,iT) = rMUSIC(x, K, ‘FBSS’, 2);

[doa4(:,iT),doa5(:,iT)] = MODEX(x, K);

end

RMSE1(iS) = rmse(doa1, DOA);

RMSE2(iS) = rmse(doa2, DOA);

RMSE3(iS) = rmse(doa3, DOA);

RMSE4(iS) = rmse(doa4, DOA);

RMSE5(iS) = rmse(doa5, DOA);

[x, A, R_idl, Rs] = StatSigGenerate(M, N, DOA, snr*ones(1,K));

CRB(iS) = crbdet_w(A,R_idl,Rs,DOA,N,1)*(180/pi)^2;

end

mz = 8;

lw = 2;

figure

semilogy(SNR, RMSE1.^0.5, ‘-p’, ‘markersize’, mz, ‘linewidth’, 2); hold on;

semilogy(SNR, RMSE2.^0.5, ‘-o’, ‘markersize’, mz, ‘linewidth’, 2);

semilogy(SNR, RMSE3.^0.5, ‘->’, ‘markersize’, mz, ‘linewidth’, 2);

semilogy(SNR, RMSE4.^0.5, ‘-*’, ‘markersize’, mz, ‘linewidth’, 2)

semilogy(SNR, RMSE5.^0.5, ‘-*’, ‘markersize’, mz, ‘linewidth’, 2)

semilogy(SNR, CRB.^0.5, ‘k’, ‘linewidth’, 2)

xlabel(‘SNR (dB)’); ylabel(‘RMSE (degree)’);

legend(‘PUMA’, ‘EPUMA’, ‘root-MUSIC’, ‘MODEX’, ‘MODE’, ‘CRB’);

? 运行结果

? 参考文献

% C. Qian, L. Huang, M. Cao, H. C. So and J. Xie, “PUMA: An improved realization of MODE for DOA estimation,” IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 5, pp. 2128-2139, 2017.

% C. Qian, L. Huang, N. D. Sidiropoulos and H. C. So, “Enhanced PUMA for direction-of-arrival estimation and its performance analysis,” IEEE Transactions on Signal Processing, vol.64, no.16, pp.4127-4137, 2016.

[1]钱诚. 相干信源波达方向估计中的若干问题研究[D]. 哈尔滨工业大学.

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PUMA:DOA估计模式的改进实现附Matlab代码

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