Multi-radar target parameter estimation and fusion based on attribute scattering centre model

This study proposes a method of observing the same target from different radars to extract more useful target information, solving the problem of target occlusion in monostatic radar. This study uses the parameter estimation method of two-dimension compressed sensing algorithm based on the attribute...

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Bibliographic Details
Main Authors: Chang Liu, Shifei Tao, Dazhi Ding, Rushan Chen
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0340
Description
Summary:This study proposes a method of observing the same target from different radars to extract more useful target information, solving the problem of target occlusion in monostatic radar. This study uses the parameter estimation method of two-dimension compressed sensing algorithm based on the attribute scattering centre model to get the location, length and attitude angle of the target from different radars. The algorithm can reduce the memory, solving the problem of increasing data volume caused by multi-radar observations. Simulation results are used to verify the effectiveness of the method. The multi-radar imaging processing can also improve operation efficiency and enhance the visibility of the image, which is conducive to target recognition.
ISSN:2051-3305