Pre-Scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation
Pre-Scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation
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DOI：
10.1109/globecom48099.2022.10001186
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
Sheng-Chung Chen;Aryan Kaushik;C. Masouros
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文献类型：
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作者：
Sheng-Chung Chen;Aryan Kaushik;C. Masouros
针对多载波多输入多输出（MIMO）雷达的联合雷达通信（JRC）系统，提出了一种有效的指数调制（IM）方法。通过选择载波频率和天线分配的相应索引，将通信信息嵌入到发射的雷达脉冲中，提供两个自由度。我们的贡献涉及开发一种新的码本为基础的最小欧几里德距离（MED）的最大化和星座随机化预缩放（CRPS）计划，有效的IM-JRC传输。可以推断，集成了CRPS方案之后的码本设计的IM方法使信噪比增益最大化。JRC系统的硬件和频谱资源的重用，以及JRC的有效索引调制导致比现有方法更绿色的方法。数值结果支持所提出的方法的有效性，并显示增强的误码率性能相比，现有的基线。
This paper develops an efficient index modulation (IM) approach for the joint radar-communication (JRC) system based on a multi-carrier multiple-input multiple-output (MIMO) radar. The communication information is embedded into the transmitted radar pulses by selecting the corresponding indices of the carrier frequencies and antenna allocations, providing two degrees of freedom. Our contribution involves the development of a novel codebook based minimum Euclidean distance (MED) maximization and a constellation randomization pre-scaling (CRPS) scheme for efficient IM-JRC transmission. It can be inferred that the IM approach integrating the CRPS scheme followed by the codebook design maximizes the signal-to-noise ratio gain. The reuse of hardware and spectral resources in JRC system, and efficient index modulation for JRC leads to greener approach than existing method. The numerical results support the effectiveness of the proposed approach and show enhanced bit error rate performance when compared to existing baseline.