文章基本信息

标题：High Accuracy Parameter Estimation for Advanced Radar Identification of Electronic Intelligence System
其他标题：High Accuracy Parameter Estimation for Advanced Radar Identification of Electronic Intelligence System
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作者：R.K. Niranjan ; A.K. Singh ; C.B. Rama Rao 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2020
卷号：70
期号：3
页码：278-284
出版社：Defence Scientific Information & Documentation Centre
摘要：Radar identification is one of the vital operations in an electronic intelligence system. The conventional methods based on basic parameters comparison of unique identification of a radar in a cluster of similar radars, is prone to ambiguities. To meet the current tactical requirements of unique identification of a radar, the methodology needs to be based on better feature extraction, even in low SNR conditions. The paper explores a novel technique based on moving autocorrelation for the extraction of intra-pulse and inter-pulse radar parameters. Extensive simulation and empirical studies have been carried out to establish the approach to extend accurate radar parameters in noisy and low SNR conditions. The technique is found to be promising even in field data conditions. The paper describes the methodology, simulation results, FPGA implementation using system generator and resource utilisation summary.
关键词：ELINT system;Electronic intelligence;Intra;pulse parameters;Autocorrelation