结合CPT的相控阵空中高机动目标参数估计

Parameter Estimation of Air Highly Maneuvering Targets under Phased Array System via CPT

针对高机动目标多谱勒走动使得传统方法检测和参数估计性能下降的问题,提出了一种最优处理器框架下的结合三次相位变换(Cubic Phase Transform,CPT)的相控阵雷达空中高机动目标参数估计方法,该方法将三次相位变换引入相控阵体制雷达,利用相控阵体制下回波相位的相关性,补偿接收信号空间相位,实现接收信号的相干积累,然后通过求取补偿后信号的相位函数矩阵,实现信号的参数分离,最后进行参数估计。仿真结果证明,该算法能够在输入信噪比较低、采样脉冲较少的情况下,获得较高的参数估计结果。

For the parameter estimation of air highly maneuvering targets under phased array radar system,a new algorithm based on Cubic Phase Transform（ CPT） is proposed in this paper. The proposed method introduce CPT method into phased array phased system. To achieve coherent integration of the signals,the proposed algorithm uses the phase relationship between the received data of the phased-array radar. Consequently,the problem of the poor estimation performance by using the CPT,which is caused by the limited number of time samples of airborne radar within a CPI,can be solved. Numerical examples are provided to demonstrate the performance of the proposed algorithm.