Low-Complexity Iterative Equalization for OTFS Based on Alternating Minimization

被引：0
|
作者：
He, Xin [1 ]
Jia, Haoxiang [1 ]
Sun, Yutong [1 ]
Zhou, Zijian [1 ]
Zhao, Danfeng [1 ]
机构：
[1] Harbin Engn Univ, Sch Informat & Commun Engn, Harbin 150001, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2023年 / 34卷 / 04期
关键词：
Time-frequency analysis; Bit error rate; Modulation; Approximation algorithms; Minimization; Iterative algorithms; Complexity theory; orthogonal time frequency space (OTFS); alternating minimization (AM); high-speed mobile scenario; iterative equalization; FREQUENCY SPACE MODULATION;
D O I：
10.23919/JSEE.2023.000089
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To achieve robust communication in high mobility scenarios, an iterative equalization algorithm based on alternating minimization (AM) is proposed for the orthogonal time frequency space (OTFS) system. The algorithm approximates the equalization problem to a convex function optimization problem in the real-valued domain and solves the problem iteratively using the AM algorithm. In the iterative process, the complexity of the proposed algorithm is reduced further based on the study of the cyclic structure and sparse property of the OTFS channel matrix in the delay-Doppler (DD) domain. The new method for OTFS is simulated and verified in a high-speed mobile scenario and the results show that the proposed equalization algorithm has excellent bit error rate performance with low complexity.
引用
收藏
页码：851 / 860
页数：10
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