基于非线性最小二乘的统计MIMO雷达动目标参数估计算法

根据统计MIMO雷达的工作原理和多脉冲信号模型,提出了一种含加速度的动目标模型,推导证明了位置、速度和加速度联合估计下的CRB,分析了收发天线数、天线配置对参数估计性能的影响,并利用非线性最小二乘模型简化了目标函数的形式,在降低参数估计成本的同时,利用脉冲积累特性又可提高估计精度。文中表明随着天线数、发射脉冲数的增加,系统参数估计性能会大幅提高,且利用最小二乘模型的目标函数,参数估计的效率更高。仿真实验有效地验证了理论分析的正确性。

Estimation Algorithm of Moving Target in Statistical MIMO Radar Based on Nonlinear Least-squares Model

In this paper, the model of acceleration factor of a moving target is presented based on the statistical multiple-input multiple-output (MIMO) radar and multi-pulse transmitter. The CRB of joint estimation in this model is also presented, and the effect of antennas and the system configuration on the parameters estimation are also analyzed. On the basis, optimal function is simplified by the thesis of nonlinear least-squares model, which can low the complexity of the parameters estimation, and improve the precision of parameters estimation by the pulses accumulation at the same time. It is shown that the system performance of parameters estimation can be improved by increasing the number of antennas or pulses, and the simplified function facilitates the complexity of calculation. The performance of the proposed estimator is validated by simulation results.