An Energy Concentration Narrowband Interference Suppression Algorithm for OTFS Systems

被引：2

作者：

Guo, Qiang ^{[1
]}

Jiang, Hanyu ^{[1
]}

Xiang, Jianhong ^{[1
]}

Zhong, Yu ^{[2
]}

机构：

[1] Harbin Engn Univ, Coll Informat & Commun Engn, Key Lab Adv Ship Commun & Informat Technol, Harbin 150001, Peoples R China

[2] Agile & Intelligent Comp Key Lab, Chengdu 610000, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Narrowband interference; energy concentration; HHO; OTFS;

D O I：

10.1109/LCOMM.2023.3329176

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Orthogonal Time Frequency Space (OTFS) modulation shows strong robustness in non-geostationary orbit (NGSO) satellite communications but is seriously impacted by narrowband interference (NBI). Thus, the energy concentration NBI suppression (ECNBIS) algorithm is proposed to remove the NBI. Particularly, translation matrices are first designed to concentrate the NBI energy by canceling out the phase shifts. Peak determination and cyclic zero setting are then used for interference detection and removal. Finally, the interference suppression framework is established with the Harris Hawk Optimization (HHO) algorithm. Simulation results show that the proposed algorithm requires a signal-to-noise ratio (SNR) reduction of more than 1 dB.

引用

页码：3360 / 3364

页数：5

共 13 条

[1]

Gomaa A., 2010, P IEEE GLOB TEL C GL, P1

[2] A Sparsity Adaptive Algorithm to Recover NB-IoT Signal From Legacy LTE Interference [J].

Guo, Yijia ;

Wen, Wenkun ;

Wu, Peiran ;

Xia, Minghua .

IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (12) :2703-2707

[3] Harris hawks optimization: Algorithm and applications [J].

Heidari, Ali Asghar ;

Mirjalili, Seyedali ;

Faris, Hossam ;

Aljarah, Ibrahim ;

Mafarja, Majdi ;

Chen, Huiling .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 97 :849-872

[4] SINR Analysis of a Narrowband Interference Cancellation Scheme in OFDM Communication Systems [J].

Kim, Il Han ;

Pande, Tarkesh .

2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,

[5] Efficient Least Residual Greedy Algorithms for Sparse Recovery [J].

Leibovitz, Guy ;

Giryes, Raja .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 :3707-3722

[6] Eliminating NB-IoT Interference to LTE System: A Sparse Machine Learning-Based Approach [J].

Liu, Sicong ;

Xiao, Liang ;

Han, Zhu ;

Tang, Yuliang .

IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (04) :6919-6932

[7] Block Sparse Bayesian Learning-Based NB-IoT Interference Elimination in LTE-Advanced Systems [J].

Liu, Sicong ;

Yang, Fang ;

Song, Jian ;

Han, Zhu .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2017, 65 (10) :4559-4571

[8] Interference Analysis of Multi-tier NGSO Based on Stochastic Geometry [J].

Qiu, Zhaohua ;

Wang, Wen ;

Geng, Jingru ;

Liu, Yiqing .

2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,

[9] Off-Grid Channel Estimation With Sparse Bayesian Learning for OTFS Systems [J].

Wei, Zhiqiang ;

Yuan, Weijie ;

Li, Shuangyang ;

Yuan, Jinhong ;

Ng, Derrick Wing Kwan .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (09) :7407-7426

[10] Sparse Signal and Image Reconstruction Algorithm for Adaptive Dual Thresholds Matching Pursuit Based on Variable-step Backtracking Strategy [J].

Xiang, Jianhong ;

Li, Haoyuan ;

Qi, Liangang ;

Zhong, Yu ;

Jiang, Hanyu .

CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, 42 (04) :2132-2148

← 1 2 →