TY - JOUR
T1 - Sensing Assisted Communication System Design Based on OTFS Waveforms
AU - Wang, Weihao
AU - Fei, Zesong
AU - Wang, Siqiang
AU - Zhou, Dongkai
AU - Guo, Jing
AU - Zheng, Zhong
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2023/11/1
Y1 - 2023/11/1
N2 - In this letter, we investigate a sensing assisted communication system employing the Orthogonal Time Frequency Space (OTFS) waveforms. We first develop a channel sensing algorithm to estimate the channel coefficients in the delay-Doppler domain based on the multiple signal classification algorithm. Specifically, by searching over the three-dimensional spectrum, including the angle, delay, and Doppler shift information, the channel information can be obtained directly by exploiting the similar structure of the OTFS communication and sensing channels. After obtaining the channel information, the communication symbols are detected by the proposed Turbo-based multi-antenna probability combining-successive interference cancellation algorithm. Our results show that the sensing performance of the channel matrix can approach the performance of the maximum likelihood algorithm as the signal-to-noise ratio increases, while the computation complexity of our proposed algorithm is much lower. Besides, the bit error rate performance is better than the minimum mean squared error detection algorithm in the multi-user scenario.
AB - In this letter, we investigate a sensing assisted communication system employing the Orthogonal Time Frequency Space (OTFS) waveforms. We first develop a channel sensing algorithm to estimate the channel coefficients in the delay-Doppler domain based on the multiple signal classification algorithm. Specifically, by searching over the three-dimensional spectrum, including the angle, delay, and Doppler shift information, the channel information can be obtained directly by exploiting the similar structure of the OTFS communication and sensing channels. After obtaining the channel information, the communication symbols are detected by the proposed Turbo-based multi-antenna probability combining-successive interference cancellation algorithm. Our results show that the sensing performance of the channel matrix can approach the performance of the maximum likelihood algorithm as the signal-to-noise ratio increases, while the computation complexity of our proposed algorithm is much lower. Besides, the bit error rate performance is better than the minimum mean squared error detection algorithm in the multi-user scenario.
KW - OTFS
KW - channel estimation
KW - sensing assisted communication
KW - symbol detection
UR - http://www.scopus.com/inward/record.url?scp=85165934556&partnerID=8YFLogxK
U2 - 10.1109/LWC.2023.3298605
DO - 10.1109/LWC.2023.3298605
M3 - Article
AN - SCOPUS:85165934556
SN - 2162-2337
VL - 12
SP - 1896
EP - 1900
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 11
ER -