GLRT‐based detection of targets composed of distributed scattering centres

• Published in: IET radar, sonar & navigation Vol. 18; no. 10; pp. 1767 - 1778
• Main Authors: Hatami, Amir Mohammad, Karbasi, Seyyed Mohammad, Nayebi, Mohammad Mahdi
• Format: Journal Article
• Language: English
• Published: Wiley 01-10-2024
• Subjects: inverse synthetic aperture radar (ISAR); scattering
• ISSN: 1751-8784; 1751-8792
• DOI: 10.1049/rsn2.12613

Attributed scattering problems have been found to be helpful in inverse synthetic aperture radar (ISAR) imaging and target recognition problems. In this model, the scattering centres are divided into two categories: localised and distributed. Localised scattering centres are those that are concentrated in a small area, while distributed scattering centres are spread out over a larger area. Several methods have been proposed to estimate the scattering centres which aim to accurately identify the location and characteristics of the scattering centres. However, detecting a distributed scattering centre remains a challenging task. A novel technique is proposed based on sparse signals to improve the detection of distributed scattering centres from localised ones. This technique takes advantage of the sparsity of the signals to accurately identify the location of the distributed scattering centres. Experimental results demonstrate the superiority of algorithm in detecting distributed scattering centres. This improved detection capability has significant implications for ISAR imaging and target recognition problems.
A new method is presented to distinguish between the distributed and centralised scattering centres which is helpful in automatic target recognition. Experimental results demonstrates the effectiveness of the proposed algorithm which is superior to existing methods.