论文标题
MIMO多功能RF系统：检测性能和波形设计
MIMO Multifunction RF Systems: Detection Performance and Waveform Design
论文作者
论文摘要
本文研究了多输入 - 型超输出（MIMO）多功能射频（MFRF）系统的检测性能，该系统同时支持雷达，通信和干扰。我们表明，随着传输信号对干预 - 加上noise-ratio（SINR）的增加，MIMO MFRF系统的检测性能会提高。为了分析系统的可实现的罪行，我们在通信和障碍功能约束以及传输能量约束下制定了SINR最大化问题。我们为能量受限的波形提供了此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，我们分析了SINR的系统传输恒定波形的系统，这些系统通常在实践中使用。我们提出了一种有效的恒定波形设计算法，以最大化SINR。数值结果证明了MIMO阵列提供多个功能的能力，并显示了雷达检测和通信/干扰功能之间的权衡。
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.
