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针对水下运动脉冲信号的探测问题,研究了一种基于方位-TDOA(到达时间差)估计的被动定位算法。该算法测量目标的方位角和信号到达的时间差,通过卡尔曼滤波算法,实现对水下运动脉冲源的参数估计。结合脉冲信号的特征,论文给出了方位-TDOA卡尔曼滤波递推公式。仿真分析表明,该算法能通过平面阵实现对水下未知深度脉冲声源定位。
Aiming at the problem of underwater motion pulse detection, a passive location algorithm based on azimuth-TDOA (arrival time difference) estimation is studied. The algorithm measures the azimuth angle of the target and the signal arrival time difference. The Kalman filter algorithm is used to estimate the parameters of underwater motion pulse source. Combined with the characteristics of pulse signal, the paper gives azimuth-TDOA Kalman filter recursion formula. Simulation results show that this algorithm can realize the location of underwater unknown pulse source with plane array.