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Technology of Graphic & Image
|
282-286,292

Measurement-oriented m-optimal hypothesis N-scan multi-hypothesis tracking algorithm

Liu Jianfeng
College of Electronic Information & Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China

Abstract

In view of the problem that the JPDA algorithm can only track the known number of targets and association ambiguity, simultaneously, the number of hypotheses in MHT algorithm increases exponentially over time. This paper proposed a measurement-oriented m-optimal hypothesis N-scan MHT algorithm. Firstly, it used the method of generating m-optimal hypothesis to generate a specified number of optimal and sub-optimal hypothesis in each frame, and used fixed-value N of hypothesis tree depth to generate optimal feasible hypothesis to complete data association. This paper used two-point difference linear method and global least squares estimation to solve the track initiation of single new target and multiple new targets, respectively. The simulation results show that, comparing with MHT-DAM algorithm, the proposed method achieves a balance between tracking performance and operation time.

Foundation Support

中国航空基金资助项目(2017ZC52036,20172752019)
南京航空航天大学雷达成像与微波光子学教育部重点实验室资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0524
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Technology of Graphic & Image
Pages: 282-286,292
Serial Number: 1001-3695(2021)01-057-0282-05

Publish History

[2021-01-05] Printed Article

Cite This Article

刘建锋. 面向量测的m-最优N扫描多假设跟踪方法 [J]. 计算机应用研究, 2021, 38 (1): 282-286,292. (Liu Jianfeng. Measurement-oriented m-optimal hypothesis N-scan multi-hypothesis tracking algorithm [J]. Application Research of Computers, 2021, 38 (1): 282-286,292. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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