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Citation: Zhaogen ZHONG, Keyuan YU, Xueli SUN. Joint Estimation of Spreading Codes and Information Sequences for Asynchronous Long Code DS-CDMA Signals Based on Sequential Monte Carlo[J]. Journal of Electronics and Information Technology, ;2019, 41(6): 1365-1373. doi: 10.11999/JEIT180157 shu

Joint Estimation of Spreading Codes and Information Sequences for Asynchronous Long Code DS-CDMA Signals Based on Sequential Monte Carlo

  • Corresponding author: Zhaogen ZHONG, zhongzhaogen@163.com
  • Received Date: 2018-02-06
    Accepted Date: 2019-03-12
    Available Online: 2019-06-01

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  • To deal with the problem of joint estimation of spreading codes and information sequences for asynchronous long code DS-CDMA signals in multipath channels, an algorithm is introduced based on Sequential Monte Carlo(SMC) for blind estimation. The proposed algorithm emploies hybrid important sampling density to draw the samples from joint posterior distribution iteratively, and computes the importance weight to complete the estimation of the state variable. During the realization of the algorithm, in order to reduce the computational complexity, the modified algorithm estimates the spreading code of each user firstly, then processes the observation data, thereby modifies the original iteration step. Simulation results verify the adaptability of the proposed algorithms for multiple conditions. Moreover, it can obtain good estimation performance in time varying multipath channels.
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