Coherent Sources Number Estimation Based on Circular Array Virtual Array Translation
摘要
In spatial spectrum estimation,most of the algorithms based on feature subspace require the number of sources to be accurately known.When the number of sources is estimated to be error,the performance of the algorithm is seriously invalid.For the existence of coherent sources,the information theory criterion estimates the number of sources is not accurate,and the linear array-based coherent source estimation algorithm can not be directly applied to the circular array.A circular array coherent source number estimation algorithm is proposed.Through the virtual translation of the array,the complete decoherence of the source is realized,and the information theory criterion is used to estimate the number of sources after decoherence.The mode space transformation of the circular array to the linear array is not needed,and the algorithm complexity is significantly reduced.Experimental results show that the proposed algorithm can correctly estimate the number of coherent sources without loss of array aperture,and the performance is better than FBSS_MDL and Toep_MDL algorithms at low SNR and small snapshot.