Barycenter Calibration With High Order Spectra of Windowed Delay-Doppler Signals for OTFS Based ISAC Systems

被引:1
|
作者
Yang, Yiran [1 ]
Pan, Yuchen [1 ]
Liu, Xiqing [1 ]
Peng, Mugen [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
关键词
Sensors; Channel estimation; Signal processing algorithms; Delays; OFDM; Receivers; Time-frequency analysis; High order spectrum; barycenter calibration; orthogonal time frequency space; integrated sensing and communication; window design; estimation error; FREQUENCY SPACE MODULATION; JOINT RADAR; INTERFERENCE CANCELLATION; CHANNEL ESTIMATION; WAVE-FORM; DESIGN;
D O I
10.1109/TSP.2024.3394658
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Integrated sensing and communication (ISAC) technology stands as a pivotal enabler for the sixth-generation mobile communication systems (6G) to enable high data rate communication while ensuring accurate target sensing. Orthogonal time-frequency space (OTFS) modulation has emerged as a promising candidate for ISAC, owing to its remarkable performance in doubly-selective channels. However, the sensing resolutions of OTFS are limited by the available bandwidth and frame time. In cases of insufficient delay and Doppler resolutions, the channel response is spread along delay and Doppler axes, resulting in substantial sensing inaccuracies. In our previous research, we introduced the amplitude barycenter calibration (A-BC) algorithm as an effort to improve the accuracy of parameter estimation, albeit without a strategic design for OTFS windows. In this work, we delve into the receive window design of the OTFS-ISAC system and develop a barycenter calibration algorithm that explores the high-order spectra (HOS) of the DD domain channels, called the HOS-BC algorithm. The simulation results indicate that the proposed algorithm not only improves the sensing resolution under the given bandwidth and frame time but also achieves a higher sensing accuracy at a low pilot signal-to-noise ratio compared with the A-BC algorithm.
引用
收藏
页码:2450 / 2466
页数:17
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