基于改进HAF的线性调频雷达信号参数估计

Parameter estimation of linear frequency modulation radar signal based on the improved high-order ambiguity function

针对多项式相位信号(PPS)中的线性调频(LFM)雷达信号参数估计,通过提出频谱方差极大值准则对PPS次优参数估计方法高阶模糊度函数(HAF)进行了改进,提出了适于单分量LFM参数估计的改进HAF。首先讨论了HAF对LFM参数的估计方法及其局限性,然后提出了分段频谱方差极大值法则下LFM调频斜率估计的方法,将其与HAF相结合提出了单分量LFM参数估计的改进HAF,克服了接收信号与实际信号起点不一致性对HAF带来的影响,降低了由于HAF局限性带来的调频斜率估计误差,改善了HAF的累积误差效应。MATLAB仿真验证了改进方法较HAF的优越性。

To estimate the parameters for linear frequency modulation （LFM） radar signal in the polynomial phase signal （PPS）, the high-order ambiguity function （HAF） for suboptimal parameter estimation of PPS is improved based on the proposed spectrum＇s maximum variance principle. The improved HAF is suited to the parameter estimation of single-component LFM signal. Firstly, the HAF for suboptimal parameter estimation of LFM and its limitations are discussed. Then, the new principle of the segmented spectrum＇s maximum variance for LFM chirp rate estimation is provided. Lastly, an improved HAF method for single-component LFM signal is introduced using this principle and HAF. The improved HAF method overcomes the influence of the difference between the start of the receiving signal and that of the real signal, reduces the chirp rate estimation error due to the HAF limitations and improves the cumulative error of the HAF. The MATLAB simulation verifies the improved method＇s superior performance to the HAF.