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Title: Study on point target tracking technology based on neural network

Authors: Xianyu Meng; Change Zeng; Yuxiao Tang; Qiongying Lv; Bing Jia; Shan Xue; Guohua Cao

Addresses: Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China ' Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China ' Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China ' Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China ' Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China ' Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China ' Changchun University of Science and Technology, No. 7089, Weixing Road, Jilin Province, ChangChun, 130000, China

Abstract: There exist some drawbacks when using laser scanning radar to obtain the external ballistic trajectory information of various point targets, such as large coordinate binding error, small test window and less measurement points unable to get the real-time feedback of the target position, etc. In order to solve the above issues, a point target tracking method is proposed in this paper based on neural network. By the method, the trajectory point data captured through the two-dimensional scanning galvanometer is used to effectively predict the external ballistic data, and the real-time ballistic calculation method is given. This research work provides an effective theoretical basis for the design of light weapons ballistic scanning radar.

Keywords: point-target; coordinate binding; external ballistic; neural network; lidar.

DOI: 10.1504/IJNM.2020.104492

International Journal of Nanomanufacturing, 2020 Vol.16 No.1, pp.97 - 105

Received: 24 Jun 2019
Accepted: 15 Jul 2019

Published online: 19 Dec 2019 *

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