Algorithm for M-FSK intrapulse radar signal analysis
Algorithm for M-FSK intrapulse radar signal analysis
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DOI：
10.1109/radar.2014.7060449
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发表时间：
2014-10
期刊：
影响因子：
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通讯作者：
Z. Matousek;J. Ochodnický;M. Babjak;J. Kurty
中科院分区：
文献类型：
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作者：
Z. Matousek;J. Ochodnický;M. Babjak;J. Kurty
现代雷达使用越来越复杂的波形。有些波形是故意设计的，使它们几乎不可能被截获。雷达信号的主要特征隐藏在其脉内结构中。探测信号的脉内调制分析是电子情报/ESM系统的一项重要任务。作为测量的结果，对于每个脉冲特定描述，创建包含主要参数的所谓脉冲描述符字（PDW）或指纹。在目前的电子智能系统接收机的硬件实现中，在M进制频移键控脉内调制（M-FSK脉内调制）的情况下，很难确定PDW。本文用信号分析的新方法，对具有M-FSK脉内调制的未知雷达信号进行了算法研究。该算法是在亚谱分解方法（SDM）的基础上实现的。介绍了SDM的原理，并对M-FSK脉内调制信号的识别和分解进行了建模和仿真。
Modern radar uses more and more complex waveforms. Some waveforms are developed intentionally to make their intercept almost impossible. The main distinctive features of radar signal are hidden in its intrapulse structure. The intrapulse modulation analysis of a detected signal is a major task of an ELINT/ESM system. As a result of measurement, for each pulse specific description, so called pulse descriptor word (PDW) or finger printing, containing primary parameters is created. To determine a PDW in case of M-ary Frequency Shift Keying intrapulse modulation (M-FSK intrapulse modulation) in the recent hardware implementation of electronic intelligence system receivers is hardly achieved. The algorithm for unknown radar signals with M-FSK intrapulse modulation by new approach in signal analysis is described. The proposed algorithm is performed on the base of Subspectral Decomposition Method (SDM). The SDM principle and results of modeling and simulation of M-FSK intrapulse modulation signal recognition and decomposition are presented.