一种基于HAF的多分量多项式相位信号参数估计算法

多项式相位信号（PPS）的参数估计是雷达信号处理的一个重要内容，最大似然估计法、时频分析以及高阶模糊函数法因为自身的缺点而很难进一步提高参数的估计精度。文章提出了基于高阶模糊函数（HAF）和迭代法相结合的估计算法，不仅可以避免交叉项的影响，而且能以较小的计算量有效提高估计的精度。MATLAB仿真验证了该算法的有效性和可行性。

Parameter Estimation of Multi Component PPS Based on HAF

Parameter estimation of multicomponent Polynomial Phase Signals , which are embeded in Additive White Gaussian Noise, is one of the core issues of Radar Signal Processing. Time Frequency method and ML algorithm both have shortcomings in obtaining more accurate parameter estimations. This paper addresses an iterative algorithm based on High Order Ambiguity Function to imporve estimation performance, and simulations are carried out to illustrate the validity of the proposed algorithm.