Journal on Communications ›› 2022, Vol. 43 ›› Issue (10): 86-93.doi: 10.11959/j.issn.1000-436x.2022203

• Papers • Previous Articles     Next Articles

Iterative rake equalization method for low-complexity OTSM in high-speed mobile environment

Guojun LI1,2, Kun LONG1,3, Changrong YE1,2,4, Jiawen LIANG1,2   

  1. 1 Lab of Beyond LOS Reliable Information Transmission, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    2 School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    3 School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    4 Postdoctoral Research Workstation of Chongqing Key Laboratory of Optoelectronic Information Sensing and Transmission Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Revised:2022-10-05 Online:2022-10-25 Published:2022-10-01
  • Supported by:
    The National Key Research and Development Program of China(2019YFC1511300);Chongqing Basic Research and Frontier Exploration Project(cstc2021ycjh-bgzxm0072)

Abstract:

Aiming at the problems of poor anti-noise performance and high computational complexity of the existing orthogonal time sequency multiplexing (OTSM) equalization methods, a low-complexity iterative rake equalizer based on maximum ratio combining (MRC) was proposed.The main idea was to use MRC to iteratively extract and coherently combine the received multipath components of the transmitted symbols in the delay-time domain to improve the signal-to-noise ratio of the combined signal.In order to speed up the convergence of the MRC iterative algorithm, a single-tap time-frequency equalizer was designed to provide an initial estimate, and then combined with an external error correction code to further improve the bit error performance.The simulation results show that the performance of the iterative rake equalizer based on MRC is significantly better than that of the LMMSE linear equalizer, and the performance and computational complexity are greatly improved compared with the currently widely used Gauss-Seidel (GS) iterative equalizer.

Key words: orthogonal time sequency multiplexing, maximum ratio combining, delay-time domain, single tap time-frequency equalizer

CLC Number: 

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