An Improved SAMP Algorithm for Sparse Channel Estimation in OFDM System
Author:
Affiliation:
1. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
2. Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing 100192, China
Abstract
Funder
Chip and Module Project of 5G Reduced Capability (RedCap) 2022
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/23/15/6668/pdf
Reference25 articles.
1. A Review on Sparse Channel Estimation in OFDM System Using Compressed Sensing;Uwaechia;IETE Tech. Rev.,2017
2. Compressed Sensing Channel Estimation for OFDM with Non-Gaussian Multipath Gains;Felipe;IEEE Trans. Wirel. Commun.,2020
3. Zhao, X.J., Yang, S.Y., Zhang, A.H., and Li, X.Y. (2018, January 28–31). A Compressive Sensing Based Multi-user Detection Algorithm for SIMO-NOMA Systems. Proceedings of the 2018 15th International Symposium on Wireless Communication System (ISWCS), Lisbon, Portugal.
4. Dynamic Compressive Sensing-Based Multi-User Detection for Uplink Grant-Free NOMA;Wang;IEEE Commun. Lett.,2016
5. Mohammadreza, R., Robert, A., Robin, C., and Utpal, K.D. (2022, January 13–16). Adaptive Millimeter-Wave Channel Estimation and Tracking. Proceedings of the 2022 24th International Conference on Advanced Communication Technology (ICACT), Pyeongchang, Republic of Korea.
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