Research on Algorithm for Spatial Spectrum Estimation of Coherent Signals
Yusheng Liu
Abstract
Yusheng Liu
Abstract
Aiming at the MUSIC algorithm's limitation on spatial spectrum estimation of coherent signals and its low estimation accuracy,this paper presented an advanced algorithm for spatial spectrum estimation of coherent signals——fixed global smoothing algorithm,which breaks the limitation of the placement of arrays through replacing the smoothing subarrays and makes the usefull number of subarrays more than that of forward/backward spatial smoothing.It uses all the arrays as a slidable subarray and gets a new covariance matrix containing spatial spectrum information,then decomposes its eigenvalue and uses MUSIC algorithm to estimate the DOA.The simulation results prove that the fixed global smoothing algorithm can estimate the DOA of coherent signals very well,and it has much higher estimation accuracy than the forward/backward smoothing algorithm when the SNR is quite low.
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Aiming at the MUSIC algorithm's limitation on spatial spectrum estimation of coherent signals and its low estimation accuracy,this paper presented an advanced algorithm for spatial spectrum estimation of coherent signals——fixed global smoothing algorithm,which breaks the limitation of the placement of arrays through replacing the smoothing subarrays and makes the usefull number of subarrays more than that of forward/backward spatial smoothing.It uses all the arrays as a slidable subarray and gets a new covariance matrix containing spatial spectrum information,then decomposes its eigenvalue and uses MUSIC algorithm to estimate the DOA.The simulation results prove that the fixed global smoothing algorithm can estimate the DOA of coherent signals very well,and it has much higher estimation accuracy than the forward/backward smoothing algorithm when the SNR is quite low.
Key concepts: Smoothing, Algorithm, Covariance matrix, Multiple signal classification, Computer science, Covariance, Mathematics, Statistics