Open AccessAdaptive signal suppression based on modified PCA for a single‐point radiation source in radar networks
Author(s) -
Miao Yingjie,
Liu Feifeng,
Tian Lun,
Liu Quanhua
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0646
Subject(s) - computer science , radar , signal (programming language) , energy (signal processing) , interference (communication) , principal component analysis , space time adaptive processing , signal processing , artificial intelligence , radar engineering details , telecommunications , radar imaging , physics , channel (broadcasting) , quantum mechanics , programming language
In order to realise effective target detection with a large baseline radar network interfered by a single radiation source, an adaptive processing method derived from traditional principal component analysis (PCA) and array signal processing theory is proposed in this study. First, the signal model for target detection with a large baseline radar system in an interference environment is established. Second, based on the characteristics of the signal model, an adaptive suppression method composed of high‐precision delay alignment and modified PCA is proposed. Finally, the effectiveness of the method in a typical environment is verified by simulation. The results show that this method can accumulate target energy effectively and realise reliable detection in such case, which has great application prospects.