Improved de-interleaving algorithm of radar pulses based on dual fuzzy vigilance ART  

作　　者：JIANG Wen FU Xiongjun CHANG Jiayun 

机构地区：[1]School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第2期303-311,共9页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61571043);the 111 Project of China(B14010)。

摘　　要：As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.

关 键 词：FUZZY adaptive resonance theory(fuzzy ART) DEINTERLEAVING DUAL VIGILANCE mechanism 

分 类 号：TN957.51[电子电信—信号与信息处理]