T-MUSIC Algorithm for DOA-Range Estimation of Mixed Near-Field and Far-Field Sources
This paper presents an effective two-stage MUSIC (T-MUSIC) algorithm based on second order statics for multiple near-field and far-field sources impinging on a symmetric uniform linear array, named as T-MUSIC algorithm.Firstly, the vectors conducted by the anti-diagnoal elements of a covariance matrix are utilized to form a number of overlapping subvectors.Making use of these subvectors to give a new covariance matrix and apply MUSIC algorithm to estimate DOAs.Then substitute the DOA estimations into the former two-dimensional spectrum estimation problem, so we can transform DOA-Range two-dimensional spectral peak into one-dimensional search related to range to obtain estimations.Compared with the related works, the proposed method can provide superior performance, such as higher estimation accuracy, without the procedure of multidimensional search, higher order statistics or parameter matching.Simulation results are presented to demonstrate the efficacy of the proposed approach.
Direction-of-arrival (DOA) range near-field far-field MUSIC
Ruiyan Du Fulai Liu Jian Ma Jian Wu
Northeastern University at Qinhuangdao, Hebei, Qinhuangdao, 066004;Northeastern University, Liaoning Northeastern University, Liaoning, Shenyang, 110819 Northeastern University, Liaoning, Shenyang, 110819;Northeastern University at Qinhuangdao, Hebei, Q
国内会议
长春
英文
532-539
2015-07-25（万方平台首次上网日期，不代表论文的发表时间）