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。
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.
出处
《现代防御技术》
北大核心
2007年第4期122-126,共5页
Modern Defence Technology
关键词
时域相干累积
自适应滤波
高斯噪声
time domain coherent integration
adaptive filtering
Gaussian noise
