Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (8): 2877-2885.doi: 10.12305/j.issn.1001-506X.2024.08.35

• Communications and Networks • Previous Articles    

DME pulse interference suppression method based on cSVB algorithm

Dongxia LI, Jiani WANG, Xiangqing PENG, Haitao LIU, Lei WANG   

  1. School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • Received:2023-06-20 Online:2024-07-25 Published:2024-08-07
  • Contact: Dongxia LI

Abstract:

To solve the problem that the distance measure equipment (DME) signal seriously interferes with the forward link receiver of L-band digital aviation communication system (L-DACS), a DME pulse interference suppression method based on correlated sparse variational Bayesian (cSVB) algorithm is proposed. In this method, the empty subcarrier information of the orthogonal frequency division multiplexing (OFDM) receiver of L-DACS system is used to construct the compressed sensing equation of the received signal. Then, three-level Bayesian signal modeling is carried out according to the cSVB algorithm. Finally, two variant algorithms are selected to reconstruct DME interference signal and remove it from the received signal in the time domain. Theoretical analysis and simulation results show that the proposed interference suppression method can make full use of prior information and further reduce the normalized mean square error of DME interference signal estimation, effectively improve the error performance of L-DACS system, and enhance the transmission reliability.

Key words: L-band digital aviation communication system (L-DACS), distance measure equipment (DME), block sparse Bayesian, variational Bayesian inference

CLC Number: 

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