Tracking of time-varying mobile radio channels-part II:: A case study

被引:53
|
作者
Lindbom, L [1 ]
Ahlén, A
Sternad, M
Falkenström, M
机构
[1] Ericsson Infotech, SE-65115 Karlstad, Sweden
[2] Uppsala Univ, SE-75120 Uppsala, Sweden
关键词
adaptive estimation; fading channels; least mean square methods; prediction methods;
D O I
10.1109/26.975781
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
Low-complexity WLMS adaptation algorithms, of use for channel estimation, have been derived in a companion paper. They are here evaluated on the fast fading radio channels encountered in IS-136 TDMA systems, with the aim of clarifying several issues: How much can channel estimation performance be improved with these tools, as compared to LMS adaptation? When can an improved tracking MSE be expected to result in a meaningful reduction of the bit error rate? Will optimal prediction of future channel estimates significantly improve the equalization? Can one single tracker with fixed gain be used for all encountered Doppler frequencies and SNR's, or must a more elaborate scheme be adopted? These questions are here investigated both analytically and by simulation. An exact analytical expression for the tracking MSE on two-tap FIR channels is presented and utilized. With this tool, the MSE performance and robustness of WLMS algorithms based on different statistical models can be investigated. A simulation study then compares the uncoded bit error rate of detectors, where channel trackers are used in decision directed mode in conjunction with Viterbi algorithms. A Viterbi detector combined with WLMS, based on second order autoregressive fading models possibly combined with integration, provides good performance and robustness at a reasonable complexity.
引用
收藏
页码:156 / 167
页数:12
相关论文
共 50 条
  • [21] Tracking a time-varying number of targets with radio-frequency tomography
    Xiao H.
    Liu H.
    Xu J.
    Men A.
    Transactions of Tianjin University, 2015, 21 (4) : 356 - 365
  • [22] A Method of Time-Varying Rayleigh Channel Tracking in MIMO Radio System
    贡彦飞
    何子述
    韩春林
    Journal of Electronic Science and Technology of China, 2005, (04) : 321 - 324
  • [23] Tracking a Time-Varying Number of Targets with Radio-Frequency Tomography
    肖贺
    刘航
    徐俊
    门爱东
    Transactions of Tianjin University, 2015, 21 (04) : 356 - 365
  • [24] Tracking a Time-Varying Number of Targets with Radio-Frequency Tomography
    肖贺
    刘航
    徐俊
    门爱东
    Transactions of Tianjin University, 2015, (04) : 356 - 365
  • [25] Particle filtering for tracking time-varying dispersion channels in OFDM systems
    Qin, Wen
    Peng, Qicong
    PROCEEDINGS OF 2006 IEEE INFORMATION THEORY WORKSHOP, 2006, : 683 - +
  • [26] Adaptive maximum likelihood algorithms for the tracking of time-varying multipath channels
    Grouffaud, J
    Larzabal, P
    Clergeot, H
    Ferreol, A
    FIRST IEEE SIGNAL PROCESSING WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 1997, : 177 - 180
  • [27] Efficient Parameterized Precoder Tracking in Slowly Time-Varying MIMO Channels
    Kolla, Naresh
    Appaiah, Kumar
    Chopra, Ribhu
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (01) : 298 - 302
  • [28] Semi-blind tracking and equalization of time-varying multipath channels
    He, JQ
    Wu, ZS
    Cu, GX
    2004 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-4: BROADBAND WIRELESS - THE TIME IS NOW, 2004, : 2444 - 2449
  • [29] Byzantine Multiple Access Channels-Part II: Communication With Adversary Identification
    Sangwan, Neha
    Bakshi, Mayank
    Dey, Bikash Kumar
    Prabhakaran, Vinod M.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2025, 71 (01) : 23 - 60
  • [30] Adaptive HARQ for Mobile WiMAX Systems over Time-Varying Channels
    Juang, Rong-Terng
    Ting, Pangan
    Lin, Kun-Yi
    Lin, Hsin-Piao
    Lin, Ding-Bing
    MWS: 2009 IEEE MOBILE WIMAX SYMPOSIUM, 2009, : 1 - +