Research Article
Barycenter Calibration for MUSIC Spectrum of OFDM-ISAC Signals – A Super-Resolution Waveform Perspective
@INPROCEEDINGS{10.1007/978-3-031-86203-8_8, author={Meiyu Yin and Jingwen Li and Jialong Gong and Xiqing Liu and Mugen Peng and Nian Xia}, title={Barycenter Calibration for MUSIC Spectrum of OFDM-ISAC Signals -- A Super-Resolution Waveform Perspective}, proceedings={Wireless and Satellite Systems. 14th EAI International Conference, WiSATS 2024, Harbin, China, August 23--25, 2024, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2025}, month={3}, keywords={Integrated sensing and communication Barycenter calibration (BC) Multiple signal classification Orthogonal frequency division multiplexing}, doi={10.1007/978-3-031-86203-8_8} }- Meiyu Yin
Jingwen Li
Jialong Gong
Xiqing Liu
Mugen Peng
Nian Xia
Year: 2025
Barycenter Calibration for MUSIC Spectrum of OFDM-ISAC Signals – A Super-Resolution Waveform Perspective
WISATS PART 2
Springer
DOI: 10.1007/978-3-031-86203-8_8
Abstract
The sixth-generation mobile communication system is expected to provide sensing services, and thus the integrated sensing and communication waveform has emerged as a hot research topic. In typical sensing systems, such as radar, sensing resolution is often constrained by available wireless resources. Achieving super-resolution sensing within the resource constraint poses a significant challenge. To this end, this work proposed a calibration algorithm for orthogonal frequency division multiplexing waveforms to conduct barycenter calibration (BC) of the multiple signal classification (MUSIC) spectrum that performs two-dimensional sensing. Simulation results demonstrated that the BC algorithm could significantly reduce sensing errors. Even at the edge of the MUSIC spectrum, it still exhibits robust performance. In addition, to comprehensively evaluate the performance gains, we introduce the capacity-to-error ratio and provide simulation results and discussions.
