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基于LMS的符号级自适应均衡算法

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基于LMS的符号级自适应均衡算法
Adaptive Equalization Algorithm in Symbolic Level Based on LMS Algorithm
投稿时间：2015-11-05
DOI：10.15918/j.tbit1001-0645.2017.07.018
中文关键词:码分复用扩频通信多径干扰符号均衡
English Keywords:code division multiple accessspread spectrum communicationmultipath interferencesymbol equalization
基金项目:
作者单位
杨杰北京理工大学 信息与电子学院, 北京 100081
涂航北京理工大学 信息与电子学院, 北京 100081
王忆夏北京理工大学 信息与电子学院, 北京 100081
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中文摘要:
针对使用较短扩频码的CDMA系统中，多径干扰会严重影响接收机性能，尤其在多径时延较长的情况下，干扰会延续多个符号，造成严重的用户间、符号间干扰这一问题，提出了一种基于LMS的符号级自适应均衡算法，在接收机误码率性能及运算复杂度相当的情况下，提高了均衡算法的吞吐量.通过仿真和实验硬件平台测试可以看出，提出的均衡算法能够有效抑制多径衰落引起的用户间和符号间干扰，提高了算法单次迭代的吞吐量，降低了工程应用中运算时延对算法实际收敛速度的制约，更易于工程实现.
English Summary:
In the CDMA systems with short spreading codes, multipath interference will seriously affect the performance of receivers. Especially when the multipath delay is long, interference will spread to disturb successive symbols and cause serious interference between users and symbols. A symbolic level adaptive equalization algorithm was proposed to improve the throughput of single iteration of equalization, almost without changing the bit error rate of receivers and computation complexity. The results of simulation and hardware test show that, the new algorithm effectively suppresses the inter-user interference and inter-symbol interference caused by multipath fading, and obviously improves the throughput of one single iteration equalization, and alleviates the constraint of delay to the convergence speed, which makes it much easier for engineering application.
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相关话题/信息 北京 北京理工大学 电子 干扰

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