Direct Position Determination Algorithm of Time-frequency-space Aliased Pulse Train Radiation Source Signals
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摘要: 当既定侦察区域存在多个数目未知且信号参数相似的脉冲串辐射源信号时，采用经典的多目标定位算法和直接定位算法(DPD)均无法对多个辐射源信号进行精确定位。该文提出了一种基于位置信息累积的脉冲串直接定位算法(L-DPD)。算法采用多个运动侦察站对固定目标辐射源进行信号接收，充分利用脉冲串信号的位置信息并联合各脉冲的时延、频移信息对目标进行直接定位，解决了经典的直接定位法无法对时频空域混叠信号有效定位的问题。同时该文推导了高斯白噪声背景下相参脉冲信号直接定位算法的克拉美罗界。仿真分析表明，算法可以对时频空域混叠信号进行高分辨高精度定位。Abstract: When there are multiple pulse train radiation source signals with unknown numbers and similar signal parameters in a given reconnaissance area, it is impossible to locate accurately multiple radiation source signals using classic multi-target localization method and Direct Position Determination (DPD) algorithm. This paper proposes a direct pulse train positioning algorithm based on the Localization information DPD (L-DPD) accumulation. The algorithm uses multiple moving reconnaissance stations to receive the signal from the fixed target radiation source, uses full the localization information of the pulse train signal and combines the time delay and frequency shift information of each pulse to locate directly the target, which solves the problem that the classic DPD algorithm can not effectively locate the time-frequency-space aliased signal. At the same time, this paper derives the Cramer-Rao Lower Bound(CRLB) of the DPD algorithm for coherent pulse signals under the background of Gaussian white noise. Simulation analysis shows that the algorithm can perform high-resolution and high-precision positioning of time-frequency-space aliased signals.
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