一種新的時(shí)頻極大似然DOA估計(jì)方法
DOA Estimation Based on Time-Frequency Maximum Likelihood
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摘要: 針對(duì)非平穩(wěn)信號(hào),提出一種新的時(shí)頻域極大似然DOA估計(jì)方法,利用參考陣元與陣列中其它陣元輸出之間的互偽Wigner-Ville分布建立起時(shí)頻域的陣列信號(hào)模型,通過(guò)時(shí)頻域極大似然方法獲得入射方向估計(jì)。與基于空間時(shí)頻分布矩陣的陣列測(cè)向方法相比,該方法具有計(jì)算量小、交叉項(xiàng)時(shí)頻分布利用充分的優(yōu)點(diǎn)。仿真實(shí)驗(yàn)證實(shí)了該方法的有效性。Abstract: An algorithm is presented for Direction-Of-Arrival (DOA) estimation of nonstationary signals impinging on the antenna array. The proposed method establishes a simplified array signal model in the time-frequency (t-f) domain by evaluating the cross Pseudo Wigner-Ville Distributions (PWVD) between the outputs of the reference element and other elements of the array, and provides a signal selective DOA estimator based on the t-f maximum likelihood. Compared with the Spatial Time-Frequency Distributions (STFD) matrices-based methods, the proposed method can make full use of the crossterms in the t-f plane, and the computational load is significantly reduced. Simulations are provided to demonstrate the effectiveness of the method.
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