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

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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
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