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作 者:王永学[1]
机构地区:[1]深圳职业技术学院电信学院通信系,广东深圳518055
出 处:《电讯技术》2011年第7期157-160,共4页Telecommunication Engineering
基 金:深圳市科技局支持项目(07KJcb137);深职院校级项目(2210K3010019)~~
摘 要:在EDGE(Enhanced Data Rate for GSM Evolution)移动通信系统中,提出了一种基于最小均方误差的自适应8PSK均衡解调算法。利用基于最小均方误差的自适应滤波器,根据突发中已知的训练序列,可快速准确地估计出系统信道参数,然后通过判决反馈均衡消除多径信道对接收信号的干扰,从而保证系统的性能。仿真结果表明,在各种多径信道模型下,该算法均可快速收敛,利用系统的26个训练序列准确估计出系统信道参数,并实现均衡和解调;在信噪比为8-10dB时,通过标准规定的MCS-5信道编解码后,系统的误码率就已经小于10^-4,完全符合标准要求,是一种简单实用的算法,便于硬件实现。An adaptive equalization and demodulation algorithm based on Least- Mean- Square Error(LMSE) is proposed in EDGE(Enhanced Data Rate for GSM Evolution) mobile communication system. It can estimate the system channel impulse response rapidly and precisely through the known training sequence by the LMSE - based adaptive filter, overcome the interference caused by the multi - path channel through decision feedback equalization and guarantee the performance of the system. Simulation results show that the channel estimation error converges rapidly, and during the period of the 26 chips of training sequence, the algorithm can estimate the channel precisely and realize equalization and demodulation. When the Signal - to - Noise Ratio(SNR) is 8 - 10 dB, after channel coder and decoder as defined in MCS - 5 of the standard, the Bit - Error - Rate(BER) of the system is less than 10-4,and that is good enough to satisfy the standard. Therefore, the proposed algorithm is a simple and useful algorithrn and can be easily realized through hardware.
关 键 词:EDGE 最小均方误差 自适应均衡 解调 训练序列 信道估计
分 类 号:TN929.5[电子电信—通信与信息系统] TN763[电子电信—信息与通信工程]
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