A Compressed Sensing Sparse Channel Estimation Method for Unique Word Prefixed Single Carrier Frequency Domain Equalization

被引：0
作者：
Meng Qingwei [1 ]
Meng Xiangru [1 ]
Ma Zhiqiang [1 ]
机构：
[1] Air Force Engn Univ, Informat & Nav Coll, Xian, Shaanxi, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2017年
关键词：
SC-FDE; Compressed Sensing; Unique Word; Toeplitz Measure Matrices; Sparse Channel Estimation; SYSTEMS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a compressed sensing (CS) based sparse channel estimation method is proposed for Unique Word (UW) Prefixed SC-FDE employed in sparse wireless channels, sparse channel estimation is formulated as a typical CS problem, and UW generation schemes arc discussed, in addition, Dantzig square selector is used to recover sparse channel impulse response (CIR) from limited number of noisy observation measurements. Simulation results based on a typical sparse underwater acoustic channel profile show that CS based channel estimation methods outperform the widely utilized time domain and frequency domain least-square (LS) channel estimation methods in bit error rate (BER) and normalized mean-square error (NMSE). The channel estimation accuracy can be significantly improved compared to time domain US estimation method.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Single Carrier with Frequency Domain Equalization for Synthetic Aperture Underwater Acoustic Communications
    He, Chengbing
    Xi, Rui
    Wang, Han
    Jing, Lianyou
    Shi, Wentao
    Zhang, Qunfei
    [J]. SENSORS, 2017, 17 (07):
  • [22] Channel Estimation and Equalization for Asynchronous Single Frequency Networks
    Silva, Fabio
    Dinis, Rui
    Montezuma, Paulo
    [J]. IEEE TRANSACTIONS ON BROADCASTING, 2014, 60 (01) : 110 - 119
  • [23] A Review on Sparse Channel Estimation in OFDM System Using Compressed Sensing
    Uwaechia, Anthony N.
    Mahyuddin, Nor M.
    [J]. IETE TECHNICAL REVIEW, 2017, 34 (05) : 514 - 531
  • [24] Sparse Channel Estimation Based on Compressed Sensing for Massive MIMO Systems
    Qi, Chenhao
    Huang, Yongming
    Jin, Shi
    Wu, Lenan
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 4558 - 4563
  • [25] Sparse reconstruction of frequency domain OCT image based on compressed sensing
    Chen M.-H.
    Wang F.
    Zhang C.-X.
    Li F.-G.
    Zheng G.
    [J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2020, 28 (01): : 189 - 199
  • [26] Sparse Channel Estimation based on Compressed Sensing for Ultra WideBand Systems
    Lagunas, Eva
    Najar, Montse
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ULTRA-WIDEBAND (ICUWB), 2011, : 365 - 369
  • [27] An improved compressed sensing reconstruction algorithm used in sparse channel estimation
    Huang, Hao-qian
    Su, Wei
    Jiang, Xia-lin
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2016,
  • [28] SINGLE CARRIER WITH MULTI-CHANNEL TIME-FREQUENCY DOMAIN EQUALIZATION FOR UNDERWATER ACOUSTIC COMMUNICATIONS
    He, Chengbing
    Huo, Siyu
    Wang, Han
    Zhang, Qunfei
    Huang, Jianguo
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, : 3009 - 3013
  • [29] A comparison of frequency domain equalization in underwater acoustic single carrier system
    [J]. Sun, H. (hxsun@xmu.edu.cn), 2012, Advanced Institute of Convergence Information Technology (07) : 372 - 379
  • [30] Massive-MIMO Sparse Uplink Channel Estimation Using Implicit Training and Compressed Sensing
    Mansoor, Babar
    Nawaz, Syed Junaid
    Gulfam, Sardar Muhammad
    [J]. APPLIED SCIENCES-BASEL, 2017, 7 (01):
12345