A NEW ALGORITHM FOR PARAMETER ESTIMATION OF LFM SIGNAL

被引：0
|
作者：
Han Ning [1 ]
Shang Chao-xuan [1 ]
Wang Gang [1 ]
机构：
[1] Mech Engn Coll, Dept Opt & Elect, Shijiazhuang, Peoples R China
来源：
3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE (ITCS 2011), PROCEEDINGS | 2011年
关键词：
Particle Swarm Optimization; estimation precision; count amount; LFM signal;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
When the energy of linear frequency modulation (LFM) signal is constant, its spectrum magnitude square is inversely proportional to frequency modulation slope in the same time duration. Based on this character, every parameter of LFM signal can be estimated. To balance the contradiction between large count amount and high estimation precision, Particle Swarm Optimization(PSO) is introduced to this algorithm. With the fast convergence characteristic of PSO, parameters such as frequency modulation slope and initial frequency are estimated with fewer count amount. Simulation experiments validate that this new algorithm consumes fewer count amount but with higher estimation precision.
引用
收藏
页码：214 / 217
页数：4
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