基于二维正交化WLCLMS的自干扰对消方法

doi:10.12305/j.issn.1001-506X.2022.09.04

Abstract

Abstract:

Widely linear model has been adopted in co-site system to suppress the mirror self-interference due to in-phase/quadrature-phase (IQ) im-balance. Due to the extension in conjunction dimension, the widely linear complex least mean square (WLCLMS) will suffer from quickly-dropped convergence rate when the input signals are highly correlated. In this paper, a two-dimensional orthogonalization method based on eigen-decomposition is proposed to decouple the input signal vector on sample delay and conjunction dimension. Moreover, an adaptive two-dimensional orthogonalization scheme with a lattice predictor, a gradient-based whitener and a digital canceller is established, which enables to track self-interference signal in time-varying environment. The simulation results indicate that the proposed method is robust to the change of system sampling frequency, filter order and IQ imbalance quantity, and can effectively improve the convergence of WLCLMS while keeping an excellent steady-state performance.

Key words: co-site system, self-interference cancellation, in-phase/quadrature-phase (IQ) imbalance, widely linear complex least mean square (WLCLMS), two-dimensional orthogonalization

CLC Number:

TN911.7

Zhongpu CUI, Songhu GE, Yaxing LI, Yu GUO, Mingliang XIE, Jin MENG. Two-dimensional orthogonalization WLCLMS scheme for self-interference cancellation[J]. Systems Engineering and Electronics, 2022, 44(9): 2726-2735.

Figures/Tables 7

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References 30

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Two-dimensional orthogonalization WLCLMS scheme for self-interference cancellation

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