Near Neighbor Cheap JPDA IMM based on amplitude information

Author

Liu, Yao ; Zhang, Wei ; Chen, Mingyan

Author_Institution

Res. Inst. of Electron. Sci. & Technol., UESTC, Chengdu, China

fYear

2012

fDate

19-20 April 2012

Firstpage

1

Lastpage

4

Abstract

A Near Neighbor Cheap JPDA (NNCJPDA) Interacting Multiple Model (IMM) algorithm based on amplitude information (AI) is proposed to improve the performance of multi-target tracking under conditions of low signal to noise ratio (SNR) or high false alarm rate. In this algorithm, the association likelihood of NNCJPDA is combined with the likelihood ratio of amplitude. Under conditions of low SNR or high false alarm rate, the amplitude information can be used to improve the accuracy of tracking and reduce the amount of computation. Simulation results demonstrate that the proposed algorithm improves the performance of target tracking and computational efficiency, and ensures the astringency of the system.

Keywords

amplitude modulation; target tracking; AI; NNCJPDA IMM; SNR; amplitude information; high false alarm rate; interacting multiple model; low signal to noise ratio; multitarget tracking; near neighbor cheap JPDA IMM; Algorithm design and analysis; Artificial intelligence; Computational modeling; Radar tracking; Signal to noise ratio; Target tracking; NNCJPDA; amplitude information; high false alarm rate; low SNR; tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Millimeter Wave Circuits and System Technology (MMWCST), 2012 International Workshop on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-1893-8

Type

conf

DOI

10.1109/MMWCST.2012.6238188

Filename

6238188