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Article type: Research Article
Authors: Zhao, Liangzhana; * | Mao, Yongyia | Xu, Pingb
Affiliations: [a] School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710061, Shaanxi, China | [b] College of science, Rocket Force University of Engineering, Xi’an 710025, Shaanxi, China
Correspondence: [*] Corresponding author: Liangzhan Zhao, School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710061, Shaanxi, China. E-mail: [email protected].
Abstract: Based on secondary scatterer model, realize the location algorithm of the target by virtue of scatterer information. Firstly, use extended Kalman filtering method of resultant motion to effectively suppress the influence of quadratic item on error multiplicative amplification during the location process by circle fitting method, so as to make the estimated location of the second layer of scatterers and the distance between those scatterers and the target more accurate Secondly, serve the second layer of scatterers as virtual observation station, and use Chan algorithm to calculate the position of the first layer of scatterers. Finally, use the position of the first layer of scatterers and signal launching angle to locate the target. The simulation results verify the feasibility and effectiveness of this algorithm.
Keywords: Secondary scatterer model, resultant motion extended Kalman filtering, virtual observation station, Chan algorithm
DOI: 10.3233/JCM-180825
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 18, no. 3, pp. 737-747, 2018
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