一种单脉冲末制导雷达抗质心干扰算法

A Suppressing Centroid Interference Algorithm for the Monopulse Terminal Radar

为了提高单脉冲末制导雷达的抗质心干扰能力,结合信号到达方向(DOA)的极大似然估计法和卡尔曼滤波,提出了一种新的算法。首先,在假设目标和干扰数量、参数已知的情况下,建立雷达多次接收信号匹配滤波后跟踪回波附近的多个相邻采样点的似然函数。其次,计算得到目标和干扰信号DOA、延迟和功率的极大似然估计,并应用最小描述长度(MDL)准则判断目标和干扰数量。最后,设计了合适的卡尔曼滤波器用于正确跟踪目标。仿真结果验证了算法的有效性。

Combining the maximum likelihood estimation of the direction of arrival（DOA） of signals with Kalman filtering method, a new algorithm is put forward to improve the suppressing centroid interference ability of monopulse terminal radar. Firstly, the likelihood function of the multiple adjacent matched filter sampling points, near to the tracking echo, of the multiple received signals of radar is constructed given the parameters and the total number of target and interferences. Secondly, the maximum likelihood estimates of DOA, delay and power of signals of target and interferences are calculated, and the minimum description length（MDL） criterion is used to decide the total number of target and interferences. Finally, the Kalman filter is designed appropriately to track the target correctly. Simulation results show that the algorithm is effective.