Compressive sensing-based co-prime array high-accuracy direction of arrival estimation method
A technology of direction of arrival estimation and compressed sensing, applied in the field of signal processing, to achieve the effect of reducing computational complexity
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example 1
[0071] Simulation Example 1: We compare the performance of the method of the present invention through the characteristics of the spatial power spectrum. The method of using the coprime array contour signal proposed by the present invention will be compared with the spatial power spectrum corresponding to the uniform array received signal, the coprime array received signal and the uniform array contour signal to illustrate the advantages of the DOA estimation method in terms of estimation accuracy . In order to ensure a fair comparison, the uniform array used as a comparison also uses 36 antenna elements, that is, the array aperture is 35d. Both the uniform array profile signal and the coprime array profile signal use the same compressed sensing kernel.
[0072] The spatial power spectrum comparison chart of the present invention and the existing method in the case of sampling snapshot number K=50 is referred to Figure 4 . At this time, the number of sampling snapshots is ...
example 2
[0074] Simulation conditions and comparison content such as simulation example 1, the spatial power spectrum comparison diagram of the present invention and the existing method under the situation of sampling snapshot number K=20 is referred to Figure 5 . At this time, the number of sampling snapshots is smaller than the number of antenna elements. It can be seen that neither the 36×1-dimensional uniform array receiving signal method nor the coprime array receiving signal method can achieve DOA estimation, because the sampling snapshot is limited, which leads to the rank deficiency of the corresponding sampling covariance matrix; In contrast, the method of using 8×1-dimensional uniform array receiving signals and coprime array receiving signals can guarantee a full-rank sampling covariance matrix in this case, and thus can generate an effective spatial power spectrum. It is noted that the spatial power spectrum of the uniform array profile signal cannot distinguish signal so...
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