Mitigating impulsive noise in airborne PLC: Introducing the S-SAMP-PV algorithm for MIMO OFDM systems

Power Line Communication (PLC) offers an efficient solution for data transmission over electrical power lines, presenting a promising avenue for in-flight communication in More Electrical Aircraft (MEA). A significant challenge in airborne PLC is Impulsive Noise (IN), which hampers transmission reli...

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Bibliographic Details
Published in:Signal processing Vol. 230; p. 109798
Main Authors: Yan, Ruowen, Li, Qiao, Xiong, Huagang
Format: Journal Article
Language:English
Published: Elsevier B.V 01.05.2025
Subjects:
Impulsive noise
Noise mitigation
Power Line Communication
Real-time data processing
S-SAMP-PV algorithm
Sparse recovery
Impulsive noise
Sparse recovery
Real-time data processing
S-SAMP-PV algorithm
Power Line Communication
Noise mitigation
ISSN:0165-1684
Online Access:Get full text
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Summary:Power Line Communication (PLC) offers an efficient solution for data transmission over electrical power lines, presenting a promising avenue for in-flight communication in More Electrical Aircraft (MEA). A significant challenge in airborne PLC is Impulsive Noise (IN), which hampers transmission reliability. Existing noise mitigation methods, while valuable, face limitations in airborne settings due to computational intensiveness and sub-optimal sparse recovery performance. This paper introduces the Structured Sparsity Adaptive Matching Pursuit with Preliminary partial support estimation and Variable step-size (S-SAMP-PV) algorithm, devised for Multiple-Input-Multiple-Output (MIMO) systems. It uniquely pre-estimates partial support of sparse IN signals, enabling adaptive convergence without prior sparsity knowledge. This methodology substantially reduces computational demands, satisfying stringent real-time requirements of airborne applications. In simulation, the S-SAMP-PV algorithm exhibits marked advantages over traditional algorithms such as Orthogonal Matching Pursuit (OMP). Specifically, it realizes an approximate 81.3% reduction in Normalized Mean Square Error (NMSE) and demonstrates around 37% improvement in computational efficiency relative to OMP. Moreover, its Bit Error Rate (BER) performance at high Signal to Noise Ratio (SNR) approaches the ideal scenario where IN is assumed to be perfectly eliminated. These results emphasize the promise of S-SAMP-PV in elevating the performance of airborne PLC systems by efficient IN mitigation. •Introduction of the S-SAMP-PV algorithm tailored for airborne PLC IN mitigation.•Demonstrate superior NMSE, BER and computational efficiency over traditional methods.•Integrated preliminary partial support estimation and adaptive step-size in S-SAMP-PV.•Addressed the challenges of real-time IN mitigation in airborne MIMO OFDM systems.•Potential for future integration with emerging PLC technologies in aviation.
ISSN:0165-1684
DOI:10.1016/j.sigpro.2024.109798