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Generalized Multiplexed Waveform Design Framework for Cost-Optimized MIMO Radar
IEEE Transactions on Signal Processing ( IF 4.6 ) Pub Date : 2020-11-27 , DOI: 10.1109/tsp.2020.3040859
Christian Hammes , Bhavani Shankar Mysorer , Bjorn Ottersten

Cost-optimization through the minimization of hardware and processing costs with minimal loss in performance is an interesting design paradigm in evolving and emerging Multiple-Input-Multiple-Output (MIMO) radar systems. This optimization is a challenging task due to the increasing Radio Frequency (RF) hardware complexity as well as the signal design algorithm complexity in applications requiring high angular resolution. Towards addressing these, the paper proposes a low-complexity signal design framework, which incorporates a generalized time multiplex scheme for reducing the RF hardware complexity with a subsequent discrete phase modulation. The scheme further aims at achieving simultaneous transmit beamforming and maximum virtual MIMO aperture to enable better target detection and discrimination performance. Furthermore, the paper proposes a low-complexity signal design scheme for beampattern matching in the aforementioned setting. The conducted performance evaluation indicates that the listed design objectives are met.

中文翻译:


用于成本优化的 MIMO 雷达的通用复用波形设计框架



在不断发展和新兴的多输入多输出(MIMO)雷达系统中,通过最小化硬件和处理成本以及最小化性能损失来实现成本优化是一种有趣的设计范例。由于射频 (RF) 硬件复杂性以及需要高角分辨率的应用中信号设计算法的复杂性不断增加,这种优化是一项具有挑战性的任务。为了解决这些问题,本文提出了一种低复杂性信号设计框架,该框架采用了通用时分复用方案,通过后续离散相位调制来降低射频硬件复杂性。该方案进一步旨在实现同时发射波束成形和最大虚拟 MIMO 孔径,以实现更好的目标检测和辨别性能。此外,本文提出了一种用于上述设置中波束方向图匹配的低复杂度信号设计方案。进行的性能评估表明满足了列出的设计目标。
更新日期:2020-11-27
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