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MIMO Multifunction RF Systems: Detection Performance and Waveform Design
IEEE Transactions on Signal Processing ( IF 4.6 ) Pub Date : 8-29-2022 , DOI: 10.1109/tsp.2022.3202315
Bo Tang 1 , Petre Stoica 2
Affiliation  

This paper studies the detection performance of a multiple-input-multiple-output (MIMO) multifunction radio frequency (MFRF) system, which simultaneously supports radar, communication, and jamming. We show that the detection performance of the MIMO MFRF system improves as the transmit signal-to-interference-plus-noise-ratio (SINR) increases. To analyze the achievable SINR of the system, we formulate an SINR maximization problem under the communication and jamming functionality constraint as well as a transmit energy constraint. We derive a closed-form solution of this optimization problem for energy-constrained waveforms and present a detailed analysis of the achievable SINR. Moreover, we analyze the SINR for systems transmitting constant-modulus waveforms, which are often used in practice. We propose an efficient constant-modulus waveform design algorithm to maximize the SINR. Numerical results demonstrate the capability of a MIMO array to provide multiple functions, and also show the tradeoff between radar detection and the communication/jamming functionality.

中文翻译:


MIMO 多功能射频系统:检测性能和波形设计



本文研究了同时支持雷达、通信和干扰的多输入多输出 (MIMO) 多功能射频 (MFRF) 系统的检测性能。我们表明,随着发射信号与干扰加噪声比 (SINR) 的增加,MIMO MFRF 系统的检测性能会提高。为了分析系统可实现的 SINR,我们在通信和干扰功能约束以及发射能量约束下制定了 SINR 最大化问题。我们推导了能量受限波形优化问题的封闭式解决方案,并对可实现的 SINR 进行了详细分析。此外,我们还分析了实际中经常使用的传输恒模波形的系统的 SINR。我们提出了一种有效的恒模波形设计算法来最大化 SINR。数值结果证明了 MIMO 阵列提供多种功能的能力,并且还显示了雷达检测和通信/干扰功能之间的权衡。
更新日期:2024-08-26
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