吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 497-501.doi: 10.13229/j.cnki.jdxbgxb201402035

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Joint symbol detection and phase estimation algorithm based on expectation-maximum

WANG Ge1,2, SHEN Zhi-xiang1, YU Hong-yi1   

  1. 1. Institute Information Engineering, The PLA Information Engineering University, Zhengzhou 450002, China;
    2. China Xi'an Satellite Control Center, Xi'an 710043, China
  • Received:2012-10-17 Online:2014-02-01 Published:2014-02-01

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Abstract:

In this paper, the problem of symbol detection in the presence of unknown carrier phase is studied. A joint symbol detection and phase estimation algorithm based on the Expectation-Maximum (EM) algorithm is developed, which is different from the traditional optimum receive algorithm. The algorithm does not need to estimate the carrier phase and obtain symbol information directly. After the algorithm convergence, it obtains signal information, at the same time estimates the maximum-likelihood (ML) of unknown carrier phase, and consequently realizes the joint symbol detection and phase estimation. Because the algorithm does not require synchronization parameters estimation, it can reduce the loss of performance, which is brought by the hierarchical processing of the traditional method. Simulation results show that, in comparison with the traditional optimum receive algorithm, which has to estimate the phase by non-data-aided first, then detect symbol information, the performance of the proposed algorithm is improved significantly.

Key words: communication, expectation-maximization algorithm, symbol detection, phase estimation, symbol error rate(SER)

CLC Number: 

  • TN911.23

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