格子约简辅助盲信号分离算法

2014 IEEE 17th International Conference on Computational Science and Engineering Pub Date : 2014-12-19 DOI:10.1109/CSE.2014.181

Kun Zhang, Yourong Lu, Wei Wang

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引用次数: 0

摘要

多天线盲信号分离(BSS)为同信道混合信号处理提供了一种有效的方法。但是在存在噪声的情况下，信道矩阵的条件数限制了BSS的性能。为了克服这一问题，提出了一种新的基于格约简(LR)的同步通信系统BSS算法。仿真结果表明，该算法在保持相同复杂度的情况下提高了噪声环境下的符号误码率(SER)性能。

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Lattice Reduction Aided Blind Signal Separation Algorithm

Multi-antenna blind signal separation (BSS) provides a useful method for co-channel mixed signal processing. But the performance of BSS is limited by the condition number of channel matrix in the presence of noise. To overcome this problem, a new BSS algorithm with the aid of lattice reduction (LR) is proposed for synchronous communication systems. Simulation results show that the proposed algorithm improves the symbol error rate (SER) performance in noise environment while keeping the same complexity level.

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2014 IEEE 17th International Conference on Computational Science and Engineering

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