认知雷达子空间信号迭代闭环检测方法

Cognitive Radar Subspace Signal Detection Method in Iterative Closed Loop

闭环迭代过程是认知雷达信号处理的重要特征。在雷达与探测环境构成的闭环中,雷达逐渐理解环境,选择适合当前环境的信号处理方式。本文考虑杂波和噪声中,认知雷达的子空间信号检测问题。基于认知雷达闭环迭代架构,提出了一种认知雷达检测方法。在每次迭代开始时,利用获得的数据计算目标在子空间内坐标的最大似然估计,然后依据目标参数设计下一次迭代所需的发射波形。计算机仿真分析表明,利用闭环迭代检测算法,认知雷达能够更高效获得探测环境信息,其检测性能优于常规雷达。

The iterative procedure in closed loop is an important characteristic of the cognitive radar system. In the closed loop including the radar system and operation environment, the cognitive radar can understand the surroundings cycle by cycle to select the proper signal processing method. In this paper, we consider subspace signal detection problem for the radar target embedded in the clutter and thermal noise. The cognitive radar target detection method is proposed based on the iterative and closed loop framework for cognitive radar. The maximum likelihood estimate of the coordinates of the target in the subspace is obtained with the received data at beginning of each loop, and then the transmitted wavefonn for the next cycle is designed based on the estimated target signature. The computer simulation results indicate that the cognitive radar can obtain the information about the operation environment in more effective manner, due to the iterative closed loop detection method, and the detection performance outperforms that of the traditional radar.