阵列雷达波束内双目标的极大似然角度估计方法

单波束内目标往往相距较近,采用传统角度分辨技术难以将其分辨,从而给目标跟踪和识别带来较大困难。于是提出基于LM算法的极大似然角度估计方法,实现波束内双目标的分辨。该方法在阵列雷达的基础上建立双目标回波模型,推导极大似然角度估计算法。考虑到求解算法直接影响极大似然角度估计的收敛速度和估计精度,利用LM算法实现了极大似然估计的求解,从而得到目标角度的精确估计。该方法避免了多次脉冲相干积累,具有计算量小的特点。仿真结果验证了方法的有效性。

Maximum likelihood angle estimation of two targets with array radar

As the targets in the same beam are close to each other, it is difficult to resolve them via traditional techniques. And it also brings difficulty in detecting and tracking. In this paper, we study the problem of resoling dual targets in the same beam with array radar. Firstly, an echo model of two unresolved targets with array radar is established. Then we propose an improved angle estimation method based on the maximum likelihood estimation principle. In consideration of the convergence speed and estimation accuracy, the Levenberg-Marquardt method is applied to obtain the maximum likelihood estimation of target direction in this paper. The simulation results prove that the method performs well in several aspects, including smaller estimation error and computational cost.