Abstract:

The performance of the direction of arrival (DOA) estimation in high frequency surface ware radar (HFSWR) degrades seriously due to only single snapshot is obtained in one coherent accumulation period. To deal with this problem, a novel DOA estimation method is proposed for single snapshot in angle domain based on compressive sensing (CS) theory and the spatial sparsity of targets. This method firstly transforms continuous targets direction into discrete grid points by sparse transformation dictionary; and then the orthogonal matching pursuit method is used to estimate the DOA roughly; finally, the accurate DOA estimation can be obtained by the iteration least squares continuous basis pursuit algorithm. Theoretical analysis and simulation results demonstrate that the proposed method is effective and much more accurate for coherent signals with low signal to noise ratio (SNR), and another benefit is that similarly high estimation accuracy can be achieved in a small-scale high frequency surface wave radar.