高机动小RCS目标长时间相参积累检测新方法

相参积累可以提高小雷达散射截面（radar cross section， RCS）目标的信噪比，但由于目标的高速高机动性，长时间相参积累会导致回波的越距离单元走动和越多普勒单元走动问题。首先建立了高机动小RCS目标的回波信号模型，并分析了目标回波信号的二维频域特性，在此基础上，提出了一种长时间相参积累检测新方法。基本思想是在距离频域方位时域利用Keystone变换，校正由一次相位引起的越距离单元走动问题，然后乘以二次相位补偿函数解决越多普勒单元走动问题，通过构造目标函数对补偿函数中的加速度进行搜索，获得的目标函数的最大值即为相参积累值。仿真结果验证了该算法的有效性。

Novel method of long term coherent integration detection formaneuvering small RCS targets

The signal-to-noise ratio(SNR) of small radar cross section(RCS) targets can be improved by coherent integration. But the maneuvering of targets causes range cell migration and Doppler cell migration. The reasons of above problems are analyzed from the two-dimensional(2-D) frequency domain, and based on this, a novel method of long term coherent integration is proposed. In fast frequency-slow time domain the Keystone transform is taken and the range cell migration is corrected, then a quadratic phase compensation function is multiplied and the objective function is constructed to search the acceleration in the compensation function. The characteristic of the new method is that the maximum value of the objective function equals to the coherent integration value, and this reduces the operational quantity and improves the operation speed. The simulation results verify the effectiveness of the proposed method.