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基于恒模特性的单通道时频重叠信号盲分离算法

Song ZHANGQing LINGFang WUGuosheng Rui

2013Scientia Sinica InformationisEngineering被引 3

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摘要

Blind signal separation is a challenging topic in the communication eld, especially for wireless radio signal reconnaissance and monitoring. Considering a blind signal separation problem concerning co-modulated time-frequency overlapped mixed signals on a single channel, a signal blind separation algorithm is proposed based on the constant modulus and estimated amplitude of the minimum shift keying modulated signals. The blind separating algorithm is based on dissolving the underdetermined equations under a constant modulus constrained condition. Two criteria of minimum phase variance and minimum slope are presented to eliminate solution illegibility, which can reasonably lead to the right solution of the blind signal separation equations. Simulation results show good separation performance when SNR is greater than 5 dB. The algorithm minimizes computing complexity.

引用本文(GB/T 7714)

Song ZHANG, Qing LING, Fang WU, 等. 基于恒模特性的单通道时频重叠信号盲分离算法[J]. Scientia Sinica Informationis, 2013.

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DOI:https://doi.org/10.1360/112012-357

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