Continuous sparse recovery for direction of arrival estimation with co-prime arrays

SAM（2014）

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摘要

We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of co-prime arrays. A continuous sparse recovery method is implemented in order to increase resolution. We show that in the noiseless case one can theoretically detect up to MN/2 sources with only 2M+N sensors via continuous sparse recovery. The noise statistics of co-prime arrays are also analyzed to demonstrate the robustness of the proposed optimization scheme. Using numerical examples, we show the superiority of the proposed method.

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关键词

doa estimation,co-prime array structure,direction of arrival estimation,continuous sparse recovery method,statistical analysis,array signal processing,noise statistics,co-prime arrays,optimization scheme,direction-of-arrival estimation,signal resolution,2m+n sensors,multiple signal classification,optimization,estimation

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