基于运动参数估计的高超声速目标检测方法研究

在分析高超声速目标运动对雷达检测影响的基础上,采用参数估计补偿方法进行目标检测。该方法消除了距离走动及多普勒走动的影响,大大提高了高超声速目标的检测性能。在参数估计时,提出一种回波信号分段参数估计方法,分别对前后两段回波信号进行无模糊多普勒频率估计,然后利用两个不同多普勒频率进行多普勒调频率计算。该方法消除了多普勒模糊现象,避免了模糊因子的估计,减少了计算量,同时降低了对输入信噪比的要求。

Detection Algorithm for Hypersonic Targets Based on Motion Parameter Estimation

Based on the analysis of the influence of the hypersonic flight of targets on radar detection,a parameter estimating and compensation method is proposed for target detection.The proposed method can eliminate range and Doppler migration,as a result,it improves the detection performance of hypersonic targets greatly.A method of segment parameter estimation is presented to estimate parameters.Unambiguous Doppler frequencies estimation of forward and back segments of echo signal are used respectively,and the Doppler frequency rate is calculated by using the difference between two Doppler frequencies.This method eliminates the Doppler ambiguity,avoids the estimation of fuzzy factor and reduces the computational cost.Additionally,it reduces the requirement for input SNR.