基于CPT和RPF的空中高机动目标检测与参数估计

Detection and parameter estimation of air highly maneuvering targets via CPT and RPF

提出了一种基于三次相位变换(cubic phase transform,CPT)和重构相位函数(reconstructing phase function,RPF)的空中高机动目标参数估计方法。为了实现目标高阶参数的估计,该方法首先通过双线性变换求得接收信号的相位函数,实现信号降阶和待估参数的分离;然后利用多阵元采样重构参考阵元的相位函数,等效增加了参考阵元相位函数的时间采样,实现了参考相位函数的相干积累;最后进行参数估计。仿真结果表明,在输入信噪比较低、采样脉冲较少的情况下,该算法能够以较高的精度实现对高机动目标的参数估计。

For the detection and parameter estimation of the air highly maneuvering targets, a new algorithm is proposed, which combines the cubic phase transform （CPT） with the reconstructing phase function （RPF）. First, the bilinear transform is used to obtain the phase function matrix of the array signal,which leds to the signal reduction and estimated parameters segregation. Then, by compensating the spatial phase of the phase function matrix based on the array manifold and reconstructing the phase function based on the time phase relevance of the phase function of each array signal, a phase continuous phase function which is rich in sampling pulses is obtained. The proposed method is equivalent to increasing coherent accumulative time of the signal. In the condition of low signal-to-noise and few sampling pulses, this method can achieve good parameter estimation results. Numerical examples are provided to demonstrate the performance of the proposed algorithm.