基于ESPRIT算法的频率分集雷达目标分离估计技术研究

Research on Target Separation and Estimation Technology of Frequency Diversity Radar Based on ESPRIT Algorithm

针对频率分集雷达存在目标距离和角度耦合的问题,提出了一种基于ESPRIT算法的频率分集雷达目标距离和角度分离估计技术,推导了频率分集雷达中的旋转不变因子,利用频率分集发射信号频率偏置与阵列流型设计,直接估计出目标的距离和角度。通过仿真验证了算法正确性,省去了谱峰搜索过程,提高了频率分集雷达目标参数估计性能。

In order to solve the problem of target range and angle coupling in frequency diversity radar,a target range and angle separation estimation technique of frequency diversity radar based on ESPRIT algorithm is proposed,and the rotation invariant factor in frequency diversity radar is derived.The range and angle of the target are estimated directly by using frequency diversity transmitted signal frequency offset and array flow pattern design.The correctness of the algorithm is verified by simulation,the process of spectral peak search is omitted,and the performance of target parameter estimation of frequency diversity radar is improved.