基于双向算法的多用户系统干扰抑制
Interference Suppression in Multiuser Systems Based on Bidirectional Algorithms
摘要:
提出了一种快速衰落信道下的自适应双向最小均方误差参数估计算法。利用连续信道增益之间的时间相关性来提高自适应算法的估计和跟踪能力,并提供对时变信道的鲁棒性。双向归一化最小均方和共轭梯度算法的设计与自适应混合参数,调整随时间变化的信道相关特性。所提出的算法的分析提供了一个讨论他们的性能优势。对多用户DS-CDMA系统中干扰抑制的仿真结果表明了所提算法的优越性。
英文摘要:
This paper presents adaptive bidirectional minimum mean-square error parameter estimation algorithms for fast-fading channels. The time correlation between successive channel gains is exploited to improve the estimation and tracking capabilities of adaptive algorithms and provide robustness against time-varying channels. Bidirectional normalized least mean-square and conjugate gradient algorithms are devised along with adaptive mixing parameters that adjust to the time-varying channel correlation properties. An analysis of the proposed algorithms is provided along with a discussion of their performance advantages. Simulations for an application to interference suppression in multiuser DS-CDMA systems show the advantages of the proposed algorithms.
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