An improved differential detection scheme based on maximum likelihood sequence estimation

被引：0
|
作者：
Kojima, T [1 ]
Miyake, M [1 ]
机构：
[1] Mitsubishi Elect Corp, Informat Technol R&D Ctr, Tokyo 100, Japan
来源：
MITSUBISHI ELECTRIC ADVANCE | 1998年 / 84卷
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：
Although differential detection is a suitable demodulation scheme for mobile communications, its bit error rate (BER) performance in an additive white Gaussian noise (AWGN) channel is inferior to that of a coherent detection scheme. To remedy this deficiency, Mitsubishi Electric has developed an improved differential detection scheme using maximum likelihood sequence estimation based on the Viterbi algorithm. The resultant scheme achieves good BER performance not only in AWGN channels but also in fast Rician fading channels and slow Rayleigh fading channels.
引用
收藏
页码：14 / 16
页数：3
相关论文
共 50 条
  • [1] AN IMPROVED VITERBI EQUALIZATION ALGORITHM BASED ON THE MAXIMUM LIKELIHOOD SEQUENCE ESTIMATION IN GSM SYSTEM
    Li, Chisheng
    Wu, Ying
    Lu, Sheng
    Xu, Qingyi
    PROCEEDINGS OF 2011 INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND APPLICATION, ICCTA2011, 2011, : 371 - 374
  • [2] The Improved Maximum-Likelihood Detection Algorithm for MIMO Systems Based on Differential Metrics
    Deng Honggui
    Liu Xiaoxiong
    Liu Gang
    2019 IEEE 11TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN 2019), 2019, : 353 - 357
  • [3] Improved maximum likelihood frequency offset estimation based on likelihood metric design
    Minn, H
    Tarasak, P
    ICC 2005: IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, 2005, : 2150 - 2156
  • [4] Improved maximum likelihood frequency offset estimation based on likelihood metric design
    Minn, Hlaing
    Tarasak, Poramate
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (06) : 2076 - 2086
  • [5] Blind maximum likelihood sequence detection
    Reader, DJ
    Cowley, WG
    1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 2694 - 2697
  • [6] Hybrid algorithms for maximum likelihood and maximum a posteriori sequence estimation
    Mahony, RE
    Brushe, GD
    Moore, JB
    ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 451 - 454
  • [7] The development of blind equalization algorithm based on maximum likelihood sequence estimation
    Chen, X
    Bai, YQ
    Zhang, LY
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 8450 - 8453
  • [8] Improved maximum likelihood estimation of the shape-scale family based on the generalized progressive hybrid censoring scheme
    Maswadah, M.
    JOURNAL OF APPLIED STATISTICS, 2022, 49 (11) : 2825 - 2844
  • [9] GNSS Spoofing Detection and Mitigation Based on Maximum Likelihood Estimation
    Wang, Fei
    Li, Hong
    Lu, Mingquan
    SENSORS, 2017, 17 (07):
  • [10] Improved Maximum Likelihood Estimation of ARMA Models
    Di Gangi, Leonardo
    Lapucci, Matteo
    Schoen, Fabio
    Sortino, Alessio
    LOBACHEVSKII JOURNAL OF MATHEMATICS, 2022, 43 (09) : 2433 - 2443
12345