Adaptive Resource Allocation Scheme for Micromotion Feature Extraction Based on Track-Before-Detect. (7th May 2018)

• Record Type: Journal Article
• Authors: Chen, Yijun; Zhang, Qun; Luo, Ying; Yeo, Tat Soon
• Other Names: Meng Fanli Academic Editor.
• Is Part Of: Journal of sensors. Volume 2018(2018)
• Publication Date: 2018-05-07
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2018/5301253
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : The micromotion feature extraction method based on track-before-detect (TBD) can save the radar resource and improve the real-time performance of micromotion feature extraction by implementing target detecting, tracking, and micromotion feature extraction simultaneously. Usually, multitargets will exist in different areas, and the limited radar resources should be allocated for different areas to achieve the maximal performance of radar. For single-beam phased array radar, an adaptive resource allocation optimization model is established according to the processing steps of the micromotion feature extraction method based on TBD, and an adaptive resource allocation strategy is proposed. With the method, the radar efficiency can be significantly improved. The effectiveness of the proposed method is demonstrated by simulations.