This paper aims to design a set of transmit waveforms in cognitive colocated Multi-Input Multi-Output (MIMO) radar systems considering the simultaneous minimization of spatial- and the range- Integrated Sidelobe Level Ratio (ISLR). The design problem is formulated as a bi-objective Pareto optimization under practical constraints on the waveforms, namely total transmit power, peak-to-average-power ratio (PAR), constant modulus, and discrete phase alphabet. A Coordinate Descent (CD) based approach, called UNIQUE, is proposed in which at every single variable update of the algorithm we obtain the solution of the uni-variable optimization problems. The novelty of the paper comes from deriving a flexible waveform design problem applicable for the emerging 4D imaging MIMO radars with application to automotive radar systems. The simultaneous optimization leads to a trade-off between the two ISLRs and the simulation results illustrate significantly improved trade-off offered by the proposed methodologies.

中文翻译：

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通过波形相关优化在 MIMO 雷达中进行空间和距离 ISLR 权衡


本文旨在考虑空间和距离综合旁瓣电平比（ISLR）的同时最小化，在认知共置多输入多输出（MIMO）雷达系统中设计一组发射波形。设计问题被表述为在波形的实际约束下的双目标帕累托优化，即总发射功率、峰均功率比 (PAR)、常数模量和离散相位字母表。提出了一种称为 UNIQUE 的基于坐标下降 (CD) 的方法，其中在算法的每次单个变量更新时，我们都获得单变量优化问题的解。该论文的新颖之处在于推导了一个灵活的波形设计问题，该问题适用于新兴的 4D 成像 MIMO 雷达以及汽车雷达系统。同时优化导致两个 ISLR 之间的权衡，模拟结果表明所提出的方法提供了显着改善的权衡。