吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 861-866.doi: 10.13229/j.cnki.jdxbgxb201403045

• Orignal Article • Previous Articles     Next Articles

Joint estimation and detection algorithm in MIMO-OFDM systems

GAO Jing-peng,ZHAO Dan-feng,ZHOU Xiang-chao,FU Fang   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China
  • Received:2012-11-12 Online:2014-03-01 Published:2014-03-01

RICH HTML

0   

PDF (PC)

920

Abstract: To overcome the disadvantages of high computational complexity of maximum likelihood detection algorithm and the poor performance of the Least Square (LS) channel estimation, a new joint estimation and detection algorithm is proposed. In order to improve the system effectiveness, LS algorithm is applied to initialize channel and Space-alternating Generalized Expectation-maximization (SAGE) algorithm is employed to process channel iterative estimation. The proposed algorithm combines the improved Grover quantum search algorithm in signal detection. Theoretical study and simulation results show that bit error rate performance of proposed algorithm is better than that of traditional joint detection algorithm. Ideal channel estimation under the maximum likelihood algorithm can be approached by the proposed algorithm with low complexity.

Key words: information processing, MIMO-OFDM, joint estimation and detection, SAGE algorithm, improved Grover&apos, s quantum search algorithm, channel estimation

CLC Number: 

  • TN911.23
[1] 李莉,王珂,韩力. 基于MSLM的MIMO-OFDM系统峰值平均功率比减小方案[J]. 吉林大学学报:工学版,2010,40(4):1112-1117.
Li Li, Wang Ke, Han Li. PAPR reduction scheme based on MSLM method for MIMO-OFDM system[J]. Journal of Jilin University (Engineering and Technology Edition), 2010, 40(4):1112-1117.
[2] Yang Hong-wei. A road to future broadband wireless access: MIMO-OFDM based air interface[J]. IEEE Communication Magazine, 2005, 43(1): 53-60.
[3] Song W G, Lim J T. Channel estimation and signal detection for MIMO-OFDM with time varying channels[J]. IEEE Communications Letters, 2006, 10(7): 540-542.
[4] Gao F F, Cui T, Nallanathan A. On channel estimation and optimal training design for amplify and forward relay networks[J]. IEEE Transactions on Wireless Communications, 2008, 7(5): 1907-1916.
[5] Piechocki R J, Nix A R, McGeehan J P, et al. Joint blind and semi-blind detection and channel estimation for space-time trellis coded modulation over fast faded channels[J]. IEEE Proceedings on Communications, 2003, 150(6): 419-426.
[6] Zhao Xu, Davies Mike. Coding-Assisted blind MIMO separation and decoding[J]. IEEE Transactions on Vehicular Technology, 2010, 59(9): 4408-4417.
[7] Lu S Y, Hui H T, Bialkowski M E. Performance analysis of multiple-input multiple-output orthogonal frequency division multiplexing systems under the influence of antenna mutual coupling effect[J]. IET Microwaves Antennas and Propagation, 2009, 3(2): 288-295.
[8] Cui Tao, Tellambura C. Approximate ML detection for MIMO systems using multistage sphere decoding[J]. IEEE Signal Processing Letters, 2005, 12(3): 222-225.
[9] Zhang J K, Wong K M, Jiang W W, et al. Joint design of transceivers for multiple-access channels using MMSE decision feedback detection[J]. IEEE Transactions on Vehicular Technology, 2011, 60(8): 3792-3804.
[10] Feder M, Weinstein E. Parameter estimation of superimposed signals using the EM algorithm[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1988, 36(4):477-489.
[11] Hu Gao-ping, Li Dong. EM-Based Channel estimation for MIMO OFDM system[C]∥2009 International Conference on Networks Security, Wireless Communications and Trusted Computing, Wuhan, Hubei, 2009: 159-162.
[12] Kim Jin-Sung, Moon Sung-Hyun, Lee Inkyu. A new reduced complexity ML detection scheme for MIMO systems[J]. IEEE Transactions on Communications, 2010, 58(4): 1302-1310.
[13] Grover L K. A fast quantum mechanical algorithm for database search[C]∥Proceedings of the Twenty-eighth Annual ACM Symposium on Theory of Computing, New York, NY, USA, 1996: 212-219.
[14] Fessler J A, Hero A O. Space-alternating generalized expectation-maximization algorithm[J]. IEEE Transactions on Signal Processing, 1994, 42(10): 2664-2677.
[15] Xu P, Wang J K, Qi F, et al. Space-alternating generalised expectation-maximisation-based H-infinity channel estimator for multiple-input multiple-output orthogonal frequency division multiplexing systems[J]. IET Communications, 2011, 5(14): 2068-2074.
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[7] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[8] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[9] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[10] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[11] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[12] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[13] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[14] LI Juan, MENG Ke-xin, LI Yue, LIU Hui-li. Seismic signal noise suppression based on similarity matched Wiener filtering [J]. 吉林大学学报(工学版), 2017, 47(6): 1964-1968.
[15] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd