Method of radar detecting small signal based on adaptive genetic algorithm and neural network

Authors:
Sun Baojing;Wang Ziran;Pan Wei
Affiliations:
Electric Detection Department, Shenyang, China;Shenyang Artillery Academy, Shenyang, China;Electric Detection Department, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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Abstract

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.