多尺度搜索补偿的临近空间高超声速目标相参积累算法

针对临近空间高超声速目标回波信号相参积累时存在的跨距离门和多普勒扩展问题，提出一种基于多尺度搜索补偿的相参积累算法。算法在距离走动补偿的基础上，根据目标加速度和加加速度的变化区间，同时对目标加速度和加加速度估计值进行搜索，并利用多尺度搜索的方法，解决搜索尺度和搜索计算量之间的矛盾，完成相参积累。仿真结果表明，算法能够有效解决目标长时间积累过程中存在的跨距离门和多普勒扩展问题，抑制噪声并提高增益，积累效果明显优于传统积累方法。

Near Space Hypersonic Target Coherent Integration Algorithm Based on Multi Scale Search Compensation

A near space hypersonic target coherent integration algorithm based on multi-scale search compensation is proposed for the problem of range gate stride and Doppler extension. In order to complete the coherent integration, on the basis of range migration compensation, the estimated values of the target acceleration and second-order acceleration are searched simultaneously according to the change interval of the target acceleration and second-order acceleration. Then the multi-scale search method is used to solve the contradiction between the search scale and search calculation. The simulation results show that the proposed algorithm can effectively solve the problem of range gate stride and Doppler extension, suppress noise and increase gain. The integration effect of the proposed algorithm is obviously superior to the traditional integration algorithms.