Improved generalized sidelobe cancelation algorithm combined with signal preprocessing about interference suppression in ELF communication

ABSTRACT

In order to effectively address the two problems in extremely-low frequency (ELF) communication, a new receiving array composed by four magnetic antennas with higher sensitivity is designed, various analog filter modules are designed, which can suppress 50 Hz interference and its harmonic components effectively. Considering the low SINR in ELF communication, based on generalized sidelobe cancellation (GSC) algorithm, a new improved algorithm combined with signal preprocessing is proposed, making the proposed algorithm obtain the more reference information about the noise and interference component of the main signal, enhancing the estimation accuracy of the component, thereby achieving the better interference suppression effect. In order to test the performance of the proposed algorithm, an experimental platform is set up and multiple sets of controlled experiments are performed. The experimental results show that the proposed algorithm is better than the original algorithm, and promotes the SINR gain within the signal bandwidth to a great extent.

KEYWORDS:

• Extremely-low-frequency communication
• interference suppression
• signal preprocessing
• linear filtering
• adaptive blocking algorithm

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by The National Natural Science Foundation of China: [Grant Number 41631072].

Notes on contributors

Chunteng Li

Chunteng Li was born in 1992. Currently he is a Ph.D. candidate in College of Electronic Engineering at Naval University of Engineering (NUE), Wuhan, China. His research interests are in the areas of signal process and its applications, including noise cancellation, signal detection, and analog circuit.

Yuzhong Jiang

Yuzhong Jiang was born in 1963. Currently he is a Professor in College of Electronic Engineering at Naval University of Engineering (NUE), Wuhan, China. His research interests are in the areas of signal process and its applications, including noise cancellation, signal detection, and digital communication system.

Fangjun Liu

Fangjun Liu was born in 1992. Currently she is a Master candidate in Academy of Mathematics and Computer Science at Yunnan Nationalities University, Kunming, China. Her research interests are in the areas of intelligent algorithm and its applications.