Method of Radar Detecting Small Signal Based on Adaptive Genetic Algorithm and Neural Network

摘要：

To perform effective radar small signal detection in low SNR, a signal-processing model is established. In the model, the feature factors that distinguish small signal from noise are defined with whitening process and feature decomposition frequency estimation, then the RBF parameters are optimized by using genetic algorithm and AGA-RBF neural network is formed to realize classification, thereby the small signal detection is completed. Results of simulation show that the detection probability is greatly increased as well as the performance of classification.

关键词： Signal detection Adaptive genetic algorithm Neural network Feature eztraction

作者: Sun Baojing Wang Ziran Pan Wei

作者单位: Electric Detection Department,Shenyang Artillery Academy, Shenyang 110162, China graduate student unit, Shenyang Artillery Academy, Shenyang 110162, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1062-1066

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）