Low Complexity Equalization Algorithm of OCDM Systems in Doubly-Selective Channels

NING Xiaoyan; SONG Yuliang; SUN Zhiguo; SUN Jingjing

doi:10.11999/JEIT211556

Volume 45 Issue 2

Feb. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(2): 516-523

NING Xiaoyan, SONG Yuliang, SUN Zhiguo, SUN Jingjing. Low Complexity Equalization Algorithm of OCDM Systems in Doubly-Selective Channels[J]. Journal of Electronics & Information Technology, 2023, 45(2): 516-523. doi: 10.11999/JEIT211556

Citation:

NING Xiaoyan, SONG Yuliang, SUN Zhiguo, SUN Jingjing. Low Complexity Equalization Algorithm of OCDM Systems in Doubly-Selective Channels[J]. Journal of Electronics & Information Technology, 2023, 45(2): 516-523. doi: 10.11999/JEIT211556

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Low Complexity Equalization Algorithm of OCDM Systems in Doubly-Selective Channels

doi: 10.11999/JEIT211556

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Funds: Advanced Ship Communications and Information Technology Industry and Key Laboratory of Ministry of Information Technology (AMCIT2101-05), The Foundation of Heilongjiang Key Laboratory of High Precision Satellite Navigation and Marine Applications (HKL-2021-Y02)

Received Date: 2021-12-22
Rev Recd Date: 2022-05-25

Available Online: 2022-06-15

Publish Date: 2023-02-07

Abstract

Abstract

Orthogonal Chirp Division Multiplexing(OCDM) is a new multi-carrier system proposed in recent years. Through Fresnel transform, a set of orthogonal Chirp signals are obtained, which achieve the maximum spectral efficiency of CSS. In this paper, the basic principle of OCDM systems is introduced and the low complexity equalization algorithm of OCDM systems is studied. In doubly-selective channels, the performance of the traditional MMSE equalization algorithm declines. A Damped-LSQR algorithm is proposed based on approximate banded matrix, as a least square iterative algorithm for sparse matrix. To alleviate ICI in rapidly time-varying channels, an LSQR-BDFE algorithm is proposed based on approximate banded matrix. Combined with decision feedback equalization, LSQR algorithm is used for iterative calculation. The simulation results show that the OCDM system has better BER performance than the OFDM system under doubly-selective channels. The LSQR-BDFE algorithm and Band Damped-LSQR algorithm have performance advantages compared with the MMSE equalization algorithm.
- Orthogonal Chirp Division Multiplexing(OCDM),
- Fresnel transform,
- Band Damped-LSQR algorithm,
- LSQR-BDFE algorithm

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References(20)

References

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