基于多級維納濾波器的信號子空間擬合算法
Signal Subspace Fitting Based on the Multi-stage Wiener Filter
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摘要: 提出一種信號子空間擬合的新方法.推導(dǎo)出信號子空間擬合一個(gè)新的基本公式,進(jìn)而建立信號子空間擬合一個(gè)新的準(zhǔn)則函數(shù).分析表明,信號子空間可以由多級維納濾波器的若干個(gè)匹配濾波器有效地構(gòu)成,而且匹配濾波器只需要多級維納濾波器的若干步前向遞推,所以該方法具有小運(yùn)算量和低復(fù)雜度的特點(diǎn).最后,計(jì)算機(jī)仿真驗(yàn)證了該方法的有效性.
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關(guān)鍵詞:
- 波達(dá)方向;信號子空間擬合;降維;多級維納濾波器
Abstract: A new method for signal subspace fitting is presented. Firstly, a novel criterion of signal subspace fitting is derived. It is shown that the correct knowledge of the number of signals is unnecessary since the columns of the signal subspace can be much lower than the number of signals. The proposed method does not resort to the estimate of the covariance matrix or its eigendecomposition, thereby implying much lower computational complexity. Finally, the effectiveness of the proposed approach is verified by numerical results. -
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