Waveform Design with Detection Probability Maximization for MIMO-OFDM Integrated Sensing and Communication System

The integrated sensing and communication system (ISAC) plays an important role in addressing spectrum scarcity and improving sensing and communication performance, laying the foundation for the development of 6G wireless networks. Due to the crucial importance of beam pattern for detection probabili...

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Bibliographic Details
Published in2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring) pp. 1 - 5
Main Authors Huo, Yuxin, Shan, Chengzhao, Ma, Yongkui, Zhao, Honglin
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.06.2024
Subjects
6G mobile communication
Accuracy
detection probability
ISAC
Optimization models
PAPR
Peak to average power ratio
Radar detection
the similarity of beam pattern gain
Vehicular and wireless technologies
waveform design
Wireless networks
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Summary:The integrated sensing and communication system (ISAC) plays an important role in addressing spectrum scarcity and improving sensing and communication performance, laying the foundation for the development of 6G wireless networks. Due to the crucial importance of beam pattern for detection probability and sensing accuracy, this paper proposes a waveform design scheme of ISAC MIMO-OFDM signal to cope with complex environments in the multi-user and multi-target scenarios. We first formulate an optimization problem to maximize radar detection probability under the constraints of the similarity of beam pattern gain between different targets, peak average power ratio (PAPR) and communication user sum-rate. Then, the non-convex optimization problem can be solved by the successive convex approximation (SCA) method. Finally, numerical simulations show that the proposed waveform design scheme improves the radar detection probability and ensures that each target is detected fairly.
ISSN:2577-2465
DOI:10.1109/VTC2024-Spring62846.2024.10683189