Determination between target and jamming based on multiple alternative hypotheses

• Published in: IET signal processing Vol. 17; no. 2
• Main Authors: Huang, Can, Wang, Yong‐Liang, Liu, Weijian, Du, Qinglei, Liu, Jun
• Format: Journal Article
• Language: English
• Published: John Wiley & Sons, Inc 01.02.2023
• Subjects: Detectors; generalised likelihood ratio test; multiple alternative hypotheses; Radar systems; subspace‐based adaptive matched filter; two‐stage detection and classification scheme
• ISSN: 1751-9675; 1751-9683
• DOI: 10.1049/sil2.12172

For adaptive multichannel radar detection in the framework of multiple alternative hypotheses, where either the target or jamming could be present, a kind of two‐stage detector and classifier is proposed. Precisely, in the first stage, a decision is made on whether a target or a jamming exists. In the second stage, the decision is determined whether it is a target or a jamming. The detector is chosen as subspace‐based adaptive matched filter (SAMF) or adaptive energy detector (AED), while the classifier is selected as the subspace‐based adaptive beamformer orthogonal rejection test (SABORT), whitened SABORT (W‐SABORT), or orthogonal subspace‐based generalised likelihood ratio test (OSGLRT). Among these detectors and classifiers, the OSGLRT is proposed specially for classification in the scheme. Numerical experiments indicate that the proposed methods can achieve better detection and classification performance. This article investigates the problem of multichannel radar adaptive detection in the framework of multiple alternative hypotheses where the test data may contain target, jamming or neither of them. To solve the problem, we use the two‐stage detection and classification scheme which contains two parts, namely, detection stage and classification stage.