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一种基于LMS的时域相干累积算法研究
引用本文:宋长宝,杨景曙. 一种基于LMS的时域相干累积算法研究[J]. 现代防御技术, 2007, 35(4): 122-126
作者姓名:宋长宝  杨景曙
作者单位:解放军电子工程学院,安徽,合肥,230037
摘    要:为了克服低信噪比条件下传统的自适应滤波算法抑制高斯噪声效果差的缺点,提出了基于最小均方(LMS)的时域相干累积新算法。计算机仿真结果表明,该算法具有良好的抑制高斯噪声的性能,对于低信噪比下信号的增强效果明显优于传统的自适应滤波算法。

关 键 词:时域相干累积  自适应滤波  高斯噪声
文章编号:1009-086X(2007)-04-0122-05
修稿时间:2006-12-15

Time Domain Coherent Integration Algorithm Based on LMS
SONG Chang-bao,YANG Jing-shu. Time Domain Coherent Integration Algorithm Based on LMS[J]. Modern Defence Technology, 2007, 35(4): 122-126
Authors:SONG Chang-bao  YANG Jing-shu
Abstract:On the condition of low SNR(signal to noise ratio),the traditional adaptive filtering algorithm is low in suppressing Gaussian noise.For greatly overcoming this disadvantage,a new time domain coherent integration algorithm based on LMS is proposed.The simulation results show that the proposed algorithm has outstanding performance in suppressing Gaussian noise.On the condition of low SNR(signal to noise ratio),the performance of the proposed algorithm in enhancing signal is better than that of the traditional adaptive filtering algorithm.
Keywords:time domain coherent integration  adaptive filtering  Gaussian noise
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