Low-PAPR DFRC MIMO-OFDM Waveform Design for Integrated Sensing and Communications
Low-PAPR DFRC MIMO-OFDM Waveform Design for Integrated Sensing and Communications
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DOI：
10.1109/icc45855.2022.9838548
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
Xiaoyan Hu;C. Masouros;Fan Liu;Ronald Nissel
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文献类型：
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作者：
Xiaoyan Hu;C. Masouros;Fan Liu;Ronald Nissel
在本文中，我们探讨了一个多输入多输出（MIMO）系统与正交频分复用（OFDM）传输和研究的低峰均功率比（PAPR）MIMO-OFDM波形设计集成传感和通信（ISAC）。这是通过在功率和PAPR约束下利用关于通信和雷达性能指标的加权目标函数来完成的。该优化问题可以等价地转化为若干个子问题，再用半定松弛法（SDR）迭代求解，一般情况下可以得到最优秩-1解.通过对通信和速率、误符号率以及雷达波束图和检测概率的仿真，验证了所提出的低峰均比MIMO-OFDM波形设计方法的可行性、有效性和灵活性。
In this paper, we explore a multiple-input multiple- output (MIMO) system with orthogonal frequency division multiplexing (OFDM) transmissions and study the low peak- to-average power ratio (PAPR) MIMO-OFDM waveform design for integrated sensing and communications (ISAC). This is done by leveraging a weighted objective function on both communication and radar performance metrics under power and PAPR constraints. The formulated optimization problem can be equivalently transformed into several sub-problems which can be parallelly solved by the semi-definite relaxation (SDR) method and the optimal rank-1 solution can be obtained in general. The feasibility, effectiveness, and flexibility of the proposed low-PAPR MIMO-OFDM waveform design method are demonstrated by a range of simulations on communication sum rate, symbol error rate as well as radar beampattern and detection probability.