Unimodular Sequence Set Design for MIMO Radar Ambiguity Function Shaping

Wenyan Wei, Yinsheng Wei
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Abstract

It has been shown in traditional single antenna radar that designing transmit waveform with an ambiguity function that exhibits low values in specific range-Doppler bins can enhance target detection performance in the clutter from these bins. This letter extends this idea to the case of multiple-input multiple-output (MIMO) radars and deals with the design of a unimodular waveform set with a desired MIMO radar range-Doppler ambiguity function. The phase-coded sequences are generated by minimizing a unified metric that can represent the weighted integrated sidelobe level (WISL) and the peak sidelobe level (PSL) of the local ambiguity function by choosing different parameters. The resulting highly nonlinear optimization problem is solved by the limited-memory Broyden- Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. Numerical results demonstrate the performance of the proposed method.
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MIMO雷达模糊函数整形的单模序列集设计
传统的单天线雷达研究表明,在特定距离多普勒波束中设计模糊度函数值较小的发射波形,可以提高在这些波束杂波中的目标检测性能。本文将这一思想扩展到多输入多输出(MIMO)雷达的情况下,并讨论了具有所需MIMO雷达距离-多普勒模糊函数的单模波形集的设计。通过选择不同的参数,最小化能表示局部模糊函数加权综合旁瓣电平(WISL)和峰值旁瓣电平(PSL)的统一度量,生成相编码序列。采用有限存储Broyden- Fletcher-Goldfarb-Shanno (L-BFGS)算法求解高度非线性优化问题。数值结果验证了该方法的有效性。
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