Pre-scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation
Shengyang Chen, Aryan Kaushik, Christos Masouros

TL;DR
This paper introduces a novel index modulation method with codebook design and pre-scaling for joint radar-communication systems, enhancing signal quality and error performance in multi-carrier MIMO radar setups.
Contribution
It proposes a new codebook and constellation pre-scaling scheme for efficient index modulation in joint radar-communication systems, maximizing Euclidean distance and improving performance.
Findings
Enhanced bit error rate performance over baseline methods
Maximized Euclidean distance in codebook design
Improved signal-to-noise ratio through pre-scaling
Abstract
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 numerical results support the effectiveness of the proposed approach and show enhanced bit error rate performance when compared to the existing baseline.
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Radar Systems and Signal Processing · PAPR reduction in OFDM
