Title :
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
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;
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
DOI :
10.1109/MMWCST.2012.6238188
