| 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8～10 dB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。 |
| 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 |
| DOI： |
|
| 基金项目:深圳市科技局支持项目（07KJcb137）；深职院校级项目（2210K3
010019） |
|
| An 8PSK Demodulation Algorithm Based on LMSE |
| WANG Yong-xue |
| (Department of Communication,Shenzhen Polytechnic, Shenzhen
518055,China) |
| Abstract: |
| An adaptive equalization and demodulation algorithm based on Least-Me
an-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 tra
ining sequence by the LMSE-based adaptive filter, overcome the interference caus
ed by the multi-path channel through decision feedback equalization and guarante
e the performance of the system. Simulation results show that the channel estim
ation error converges rapidly,and during the period of the 26 chips of training
sequenc
e, 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 co
der and deco
der as defined in MCS-5 of the standard, the Bit-Error-Rate(BER) of the system i
s les
s than 10－4,and that is good enough to satisfy the standard. Ther
efore, the proposed algorithm is a simple and useful algorithm and can be easily
realized through hardware. |
| Key words: EDGE least-mean-square error adaptive equaliza
tion demodulation training sequence channel estimation |
