Translational Compensation Algorithm for Ballistic Targets in Midcourse Based on Template Matching

Bibliographic Details
Title: Translational Compensation Algorithm for Ballistic Targets in Midcourse Based on Template Matching
Authors: Buge Liang, Zhenghong Peng, Degui Yang, Xing Wang, Jin Li
Source: Remote Sensing, Vol 14, Iss 15, p 3678 (2022)
Publisher Information: MDPI AG, 2022.
Publication Year: 2022
Collection: LCC:Science
Subject Terms: ballistic target, translation compensation, template matching, structural similarity, Science
More Details: The high-speed movement of a ballistic target will cause folding and translation of the micro-Doppler, which will affect the extraction of micro-motion features. To address the adverse effects of high-speed movement of ballistic targets in midcourse on the extraction of micro-motion features, a novel translational compensation algorithm based on template matching is proposed. Firstly, a 512 × 512 time-frequency map is obtained by binarization and down-sampling. The matching template then convolves the time-frequency map to obtain contour-like points. Then, the upper and lower contour points are preliminarily determined by the extreme value, and all actual contour points are screened out through structural similarity. Lastly, the upper and lower trend lines are determined and translation parameters for compensation by polynomial fitting are estimated. Simulation results show that the proposed algorithm has lower requirements for time-frequency resolution, higher precision and lower time complexity as a whole. Furthermore, it is also applicable to spectral aliasing.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2072-4292
Relation: https://www.mdpi.com/2072-4292/14/15/3678; https://doaj.org/toc/2072-4292
DOI: 10.3390/rs14153678
Access URL: https://doaj.org/article/b346e8decf2942db9e25faf9668566e3
Accession Number: edsdoj.b346e8decf2942db9e25faf9668566e3
Database: Directory of Open Access Journals
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More Details
ISSN:20724292
DOI:10.3390/rs14153678
Published in:Remote Sensing
Language:English