OTFS Radar Waveform Design Based on Information Theory.

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Qilong Miao, Ling Kuang, Ge Zhang, Yu Shao

Author Information

Qilong Miao: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. ORCID
Ling Kuang: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Ge Zhang: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Yu Shao: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

PMID: 40003208 DOI: 10.3390/e27020211

In this work, we consider the waveform design for radar systems based on orthogonal time-frequency space (OTFS). The conditional mutual information (CMI), chosen as a promising metric for assessing the radar cognitive capability, serves as the criterion for OTFS waveform design. After formulating the OTFS waveform design problem based on maximizing CMI, we propose an equivalent waveform processing approach by minimizing the autocorrelation sidelobes and cross-correlations (ASaCC) of the OTFS transmitting matrix. Simulation results demonstrate that superior performance in target information extraction is achieved by the optimized OTFS waveforms compared to random waveforms.

OTFS conditional mutual information information theory radar waveform design

/This work was supported by Sichuan Science and Technology Program under Grant 2023NSFSC0450, and the 111 Project under Grant B17008

Journal Article

OpenLB
Open Library of Bioscience