Open AccessMulti‐radar target parameter estimation and fusion based on attribute scattering centre model
Author(s) -
Liu Chang,
Tao Shifei,
Ding Dazhi,
Chen Rushan
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0340
Subject(s) - radar , computer science , visibility , dimension (graph theory) , computer vision , radar imaging , artificial intelligence , remote sensing , algorithm , mathematics , geography , telecommunications , meteorology , pure mathematics
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.