DOA estimation of spatial-temporal and maximum-likelihood based on fractional lower-order statistics
Chao Chen · Applied science and technology · 2010
In order to improve the estimation accuracy of existing fractional lower order spatial-temporal matrix algorithms,and their estimation performance for coherent sources at low SNR,within the conditions of impulsive noise fields modeled as symmetric α-stable distribution,fractional lower order spatial-temporal matrix is improved to be used in DOA estimation for independent sources,and a new spatial-temporal and maximum likelihood method based on fractional lower order statistics is studied to be used in DOA estimation for coherent sources.The results of simulation show the efficient and high-performance of new method.First,according to the independent source,the success probability of improved method based on improved fractional lower order spatial-temporal matrix is much more than fractional lower order spatial-temporal matrix.Second,according to coherent sources,the success probability of the new spatial-temporal and maximum likelihood method is much more than SS-FLOM,and RMS error is lower.Third,the new method avoids the drawbacks of sensor loss of space-smoothing algorithm.