基于任意阵列形式的LFM信号参数估计

Parameter estimation of LFM signals based on array of any form

基于任意阵列形式的LFM信号参数估计算法 ,利用分段解线调建立频域波束空间数据模型 ,通过Beamspace ESPRIT算法和线性调频波束形成器算法 (CBF)实现了调频斜率和初始频率的高精度估计。针对多信号交叉项的影响 ,提出了逐次滤波和迭代滤波的解决办法。算法对线性调频参数无模糊估计的条件进行了研究 ,并给出了欠采样条件下初始频率估计解模糊的方法。

The paper introduces a algorithm for parameter estimation of LFM signals. The method constructs beamspace data model in frequency domain by subsection dechirp, then Beamspace-ESPRIT and the chirp beamformer are used to estimate chirp rate and the initial frequency respectively. Recursive filter and iterative filter are proposed to eliminate the effect of cross terms. The un-ambiguity terms of parameter estimation are also considered in the paper and a method to solve the ambiguity of the sub-Nyquist sampling is proposed. Simulation shows the efficacy of the algorithm.