Coprime array adaptive beamforming method based on virtual domain spatial power spectrum estimation
An adaptive beam and power spectrum estimation technology, applied in the field of coprime array adaptive beamforming based on virtual domain spatial power spectrum estimation, can solve problems such as limited degrees of freedom
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example 1
[0087] Simulation example 1: The coprime array virtual domain spatial power spectrum P proposed by the present invention v (θ) is compared with the Capon space spectrum using a uniform array such as Figure 4 As shown, the signal-to-noise ratio is 30dB, and the number of sampling snapshots is L=500. The vertical solid line in the figure represents the desired signal direction, and the vertical dotted line represents the interference direction. Since the number of incident signal sources is greater than the number of physical antenna elements, the degree of freedom performance of the uniform array method is limited by the number of physical antenna elements, and cannot effectively distinguish all incident signal sources at the same time; in contrast, mutual Mass Array Virtual Domain Spatial Power Spectrum P v (θ) enables efficient estimation of all signal sources. It can be seen that the use of coprime array virtual domain equivalent signals can increase the degree of freedo...
example 2
[0088] Simulation Example 2: Comparison of the output SINR performance between the proposed method of the present invention and the uniform array reconstruction method Figure 5 and Image 6 shown. At the same time, the optimal value of the output SINR is also Figure 5 and Image 6 given as a reference. For each set of parameter values, the number of Monte Carlo experiments is 1000. Figure 5 For the relationship curve between the output SINR and the input SNR, the number of sampling snapshots is set to L=500; it can be seen that the output SINR trend of the proposed method of the present invention is consistent with the optimal value And it outperforms the uniform array reconstruction method. Image 6 In order to output the relationship curve between the SINR and the number of sampling snapshots, the input SNR is set to 30dB; due to the limited performance of the degree of freedom, the output SINR of the uniform array reconstruction method no longer varies with the numb...
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