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首页> 外文期刊>Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP) >PERFORMANCE ANALYSIS OF THE SUBSPACE METHOD FOR BLIND CHANNEL IDENTIFICATION
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PERFORMANCE ANALYSIS OF THE SUBSPACE METHOD FOR BLIND CHANNEL IDENTIFICATION

机译:PERFORMANCE ANALYSIS OF THE SUBSPACE METHOD FOR BLIND CHANNEL IDENTIFICATION

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摘要

We study the performance of the subspace (SS) method for estimating the impulse responses of multiple FIR channels driven by an unknown input sequence. Assuming a large data size or/and a high SNR, the estimation variance of the SS method is derived. Its performance is studied and compared with that of the cross-relation (CR) method and the Cramer-Rao bound (CRB). It is shown that the SS method is more robust to ill channel conditions than the CR method, but the CR method is generally more efficient in computation. The two methods show nearly identical performances for well-conditioned channels. [References: 19]

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