Adaptive MMSE receivers for communications in non-stationary multipath fading channel

被引:0
|
作者
Fantacci, R [1 ]
Morosi, S [1 ]
Bonechi, M [1 ]
机构
[1] Univ Florence, Dipartimento Elettr & Telecommun, I-50139 Florence, Italy
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper deals with two adaptive Minimum Mean Square Error (MMSE) receivers for Direct Sequence Code Division Multiple Access (DS/CDMA) wireless communication systems: in particular, the two different schemes, named as Post-combining and Precombining are considered with two adaptive algorithms, the Least Mean Squares (LMS) and the Recursive Least Squares (RLS). Proposed Adaptive MMSE receivers don't need knowledge of desired user's signature waveform, only requiring the use of Training Sequences (TS) at the start up, since decision directed mode is adopted after TS first transmission. Detectors performance is expressed in terms of Bit Error Rate (BER), which has been derived by simulations under the assumption of frequency-selective Rayleigh fading channel. Reported simulation results shown here highlight adaptive MMSE receivers good behaviour and remarkable near-far resistance, even in worst fading environments.
引用
收藏
页码:545 / 549
页数:5
相关论文
共 50 条
  • [31] A Practical Non-Stationary Channel Model for Vehicle-to-Vehicle MIMO Communications
    Li, Weidong
    Zhu, Qiuming
    Wang, Cheng-Xiang
    Bai, Fei
    Chen, Xiaomin
    Xu, Dazhuan
    [J]. 2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2020,
  • [32] A Geometry-Based Non-Stationary MIMO Channel Model for Vehicular Communications
    Ma, Yuanyuan
    Yang, Lei
    Zheng, Xianghan
    [J]. CHINA COMMUNICATIONS, 2018, 15 (07) : 30 - 38
  • [33] Adaptive kernel-based equalization for non-stationary digital communications channels
    Mitchinson, B
    Harrison, RF
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2003, 34 (12-13) : 693 - 703
  • [34] CNN BASED RICIAN K FACTOR ESTIMATION FOR NON-STATIONARY INDUSTRIAL FADING CHANNEL
    Lu, Guobao
    Zhang, Qilong
    Zhang, Xin
    Shen, Fei
    Qin, Fei
    [J]. 2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018), 2018, : 594 - 598
  • [35] Adaptive receivers for DS/CDMA multiuser communication in multipath fading channels
    Ueng, FB
    Jeng, LD
    Chen, JD
    Yang, JY
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2005, E88B (02) : 687 - 697
  • [36] A Flexible FPGA-Based Channel Emulator for Non-Stationary MIMO Fading Channels
    Zhu, Qiuming
    Huang, Wei
    Mao, Kai
    Zhong, Weizhi
    Hua, Boyu
    Chen, Xiaomin
    Zhao, Zikun
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (12):
  • [37] A Scalable Spatial-Temporal Correlated Non-Stationary Channel Fading Generation Method
    Fang, Sheng
    Mao, Tongbao
    Hua, Boyu
    Ding, Yuan
    Song, Maozhong
    Zhou, Qiangjun
    Zhu, Qiuming
    [J]. ELECTRONICS, 2023, 12 (19)
  • [38] A Multipath Fading Channel Model for Underwater Shallow Acoustic Communications
    De Rango, F.
    Veltri, F.
    Fazio, P.
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [39] Non-stationary noise cancellation in infrared wireless receivers
    Krishnan, S
    Fernando, X
    Sun, HB
    [J]. CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY, 2003, : 1945 - 1949
  • [40] Adaptive beamforming in non-stationary environments
    Cox, H
    [J]. THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 431 - 438