核设计满足不规则波形的杂波抵消
Kernel Design Meets Clutter Cancellation for Irregular Waveforms
摘要：
当采用脉间调制和相干处理间隔内的不规则脉冲间隔波形时，脉冲雷达系统的有效杂波滤波仍然是一个悬而未决的问题。距离域和多普勒域应联合处理以进行有效滤波，从而导致较大的计算开销。本文通过构造杂波投影矩阵来实现联合域滤波，也称为投影非全同多脉冲压缩（NIMPC）方法。本文将投影NIMPC滤波器推广到不规则脉冲间隔波形。此外，将引入基于核的正则化来解决NIMPC方法的矩阵逆的病态。正则化是基于杂波的二阶统计模型。此外，一个计算效率高的算法制定的基础上快速傅里叶变换和投影共轭梯度法。通过蒙特卡罗仿真研究，证明了核化滤波在杂波滤波方面优于投影NIMPC。
英文摘要：
Efficient clutter filtering for pulsed radar systems remains an open issue when employing pulse-to-pulse modulation and irregular pulse interval waveforms within the coherent processing interval. The range and Doppler domain should be jointly processed for effective filtering leading to a large computational overhead. In this paper, the joint domain filtering is performed by constructing a clutter projection matrix, also known as the projected non-identical multiple pulse compression (NIMPC) method. The paper extends the projected NIMPC filter to irregular pulse interval waveforms. Additionally, a kernel-based regularization will be introduced to tackle the ill-conditioning of the matrix inverse of the NIMPC method. The regularization is based on a model of the second-order statistics of the clutter. Moreover, a computationally efficient algorithm is formulated based on fast Fourier transforms and the projected conjugate gradient method. Through a Monte Carlo study it is demonstrated that the proposed kernelized filtering outperforms the projected NIMPC in clutter filtering.
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