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A Doppler Robust Max-Min Approach to Radar Code Design

机译:多普勒鲁棒最大-最小雷达编码设计方法

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摘要

This correspondence considers the problem of robust waveform design in the presence of colored Gaussian disturbance under a similarity and an energy constraint. We resort to a max-min approach, where the worst case detection performance (over the possible Doppler shifts) is optimized with respect to the radar waveform under the previously mentioned constraints. The resulting optimization problem is a non-convex Quadratically Constrained Quadratic Program (QCQP) with an infinite number of constraints, which is NP-hard in general and typically difficult to solve. Hence, we propose an algorithm with a polynomial computational complexity to generate a good sub-optimal solution for the aforementioned QCQP. The analysis, conducted in comparison with some known radar waveforms, shows that the sub-optimal solutions by the algorithm lead to high-quality radar signals.
机译:该对应关系考虑了在相似性和能量约束下存在彩色高斯扰动​​的情况下稳健的波形设计问题。我们采用最大-最小方法,其中在前面提到的约束下,相对于雷达波形优化了最坏情况下的检测性能(在可能的多普勒频移范围内)。所产生的优化问题是具有无限数量约束的非凸二次约束二次程序(QCQP),该程序通常是NP困难的,并且通常很难解决。因此,我们提出了一种具有多项式计算复杂度的算法,以针对上述QCQP生成良好的次优解决方案。与一些已知的雷达波形进行比较后的分析表明,该算法的次优解决方案导致了高质量的雷达信号。

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