摘要
论文主要研究了LMS算法、ACI算法、GACI算法的原理和性能;并对GACI算法加以改进,以降低其参数对背景噪声变化的敏感性;将算法用来提取高斯白噪声背景下的线性调频脉冲信号,并用软件仿真器进行仿真。仿真结果表明了改进的GACI算法的优越性———参数对背景噪声功率变化的敏感性明显降低,并证明了其可靠性、可行性以及工程可实现性。
The principle and performance of the least mean square (LMS), adaptive coherent integration (ACI) and generalized adaptive coherent integration (GACI) algorithms are discussed in this paper. The GACI algorithm is improved to reduce sensitivity of the parameters to noise variation, These algorithms are used to detect linear frequency modulation (LFM) signals with white Gaussian noise. Simulation results are given, showing that GACI algorithm is indeed better than the others. They also show that the algorithm is feasible.
出处
《声学技术》
EI
CSCD
2004年第2期125-127,共3页
Technical Acoustics
关键词
线性调频
自适应相干累积算法
高斯白噪声
信号处理
Adaptive algorithms
Computer simulation
Frequency modulation
Gaussian noise (electronic)
Integration
Least squares approximations
