Work

Jamming Suppression by Blind Source Separation: From a Perspective of Spatial Band-Pass Filters

Year: 2025

Type: article

Abstract: Jamming suppression is traditionally achieved through the use of spatial filters based on array signal processing theory. In order to achieve better jamming suppression performance, many studies have applied blind source separation (BSS) to jamming suppression. BSS can achieve the separation and extraction of the individual source signals from the mixed signal received by the array. This paper proposes a perspective to recognize BSS as spatial band-pass filters (SBPFs) for jamming suppression applications. The theoretical derivation indicates that the processing of mixed signals by BSS can be perceived as the application of a set of SBPFs that gate the source signals at various angles. Simulations are performed using radar jamming suppression as an example. The simulation results suggest that BSS and SBPFs produce approximately the same effects. Simulation results are consistent with theoretical derivation results.

Source: Journal of Systems Engineering and Electronics

DOI: 10.23919/jsee.2025.000005

Authors: Quanhua Liu, Xinran Sui, Xinliang Chen, Zhennan Liang, Rui Zhu

Institution: Beijing Institute of Technology

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Natural Science Foundation of Chongqing

Awards: G4897163516, G6219980242