The Study Methods Of DOA Estimation Of Coherent Sources In α Stable Distribution Noise

Direction of Arrival (DOA) estimation problem is an important research topic in array signal processing. Due to the impact of reflection and interference, The signal will appear multipath propagation and cause a lot of coherent signals in the actual environment. So, DOA estimation of coherent signal source is an important research direction of arrival estimation. The traditional DOA estimation algorithms are mainly based on Gauss distribution noise environment, However, many associated signal and noise encountered are not the Gauss distribution in the actual environment. For example, atmospheric noise, wireless channel noise and the electromagnetic wave, the signal and noise have significant spike, α Stable distribution noise is the ideal model to describe such practical noise. Therefore, The DOA estimation based on the a stable distribution noise environment has important value in theory and application.This study is mainly to deal with the problem of The DOA estimation of coherent sources which bases on the α stable distribution noise environment, the main work:(1) This study presents an improved MUSIC algorithm(R-XCOV-SS) using the signal cross-correlation propertied based on phase fractional order moment and the spatial smoothing technique referred to as the PFLOM-XCOV-SS, and the simulation results are compared.(2) Based on two order statistics improved Singular value decomposition algorithm (MSVD) Using the theory of the fractional lower order statistics for its expansion, MSVD algorithm(FLOM-MSVD) and PFLOM-MSVD is proposed based on fractional lower order moment and phase fractional lower order moment, and the simulation results are compared.