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Time-chirp Distribution for Detection and Estimation of LPI Radar Signals

机译:用于LPI雷达信号检测和估计的时间线性调频分布

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One of the primary challenges for an Electronic Support (ES) receiver is interception and analysis of low probability of intercept (LPI) radar signals, which for example are linear frequency-modulated (LFM) signals. In the paper detection and estimation of LFM waveform parameters based on the extended forms of the standard cubic phase function (CPF) is proposed. Originally the CPF function was introduced for instantaneous frequency rate (IFR) estimation. Extended forms are created by summation operations or multiplication operations, or integration operations of the time slices of the standard CPF function. The CPF function and its extended forms concentrate energy of LFM waveforms along a IFR line in the time-chirp domain just as the short time Fourier transform (STFT) and Wigner-Ville distribution (WVD) concentrates energy of LFM signals along an instantaneous frequency (IF) line in time-frequency domain. Based on the extended forms of the standard CPF function, test statistics have been proposed and intensively evaluated in Monte-Carlo simulations. Selected results of investigations on parameter estimation and high detection efficiency obtained by the proposed methods are presented.
机译:电子支持(ES)接收器的主要挑战之一是如何拦截和分析低拦截(LPI)雷达信号,例如雷达信号是线性调频(LFM)信号。在本文中,提出了基于标准立方相位函数(CPF)扩展形式的LFM波形参数的检测和估计。最初,引入CPF函数用于瞬时频率速率(IFR)估计。扩展形式是通过标准CPF函数的时间片的求和运算或乘法运算或积分运算创建的。 CPF函数及其扩展形式将LFM波形的能量沿时chi域沿IFR线集中,就像短时傅立叶变换(STFT)和Wigner-Ville分布(WVD)将LFM信号的能量沿瞬时频率集中一样( IF)时频域中的线路。基于标准CPF函数的扩展形式,已经提出了测试统计数据,并在蒙特卡洛模拟中对其进行了深入评估。提出了通过该方法获得的参数估计和高检测效率的研究结果。

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