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Waveform Design for Radar STAP in Signal Dependent Interference

机译:信号相关干扰下雷达STAP的波形设计

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摘要

Waveform design is a pivotal component of the fully adaptive radar construct. In this paper, we consider waveform design for radar space time adaptive processing (STAP), accounting for the waveform dependence of the clutter correlation matrix. Due to this dependence, in general, the joint problem of receiver filter optimization and radar waveform design becomes an intractable, nonconvex optimization problem, Nevertheless, it is, however, shown to be individually convex either in the filter or in the waveform variables. We derive constrained versions of a) the alternating minimization algorithm, b) proximal alternating minimization, and c) the constant modulus alternating minimization, which, at each step, iteratively optimizes either the STAP filter or the waveform independently. A fast and slow time model permits waveform design in radar STAP, but the primary bottleneck is the computational complexity of the algorithms.
机译:波形设计是完全自适应雷达构造的关键组成部分。在本文中,我们考虑了雷达时空自适应处理(STAP)的波形设计,考虑了杂波相关矩阵的波形依赖性。由于这种依赖性,通常,接收机滤波器优化和雷达波形设计的联合问题变成了棘手的,非凸优化问题,但是,无论如何,它在滤波器或波形变量中都被凸出。我们得出a)交替最小化算法,b)近端交替最小化和c)恒定模量交替最小化的约束形式,在每个步骤中,迭代地独立地优化STAP滤波器或波形。快速和慢速时间模型允许在雷达STAP中设计波形,但主要瓶颈是算法的计算复杂性。

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