Analytic Performance Prediction of Track-to-Track Association with Biased Data in Multi-Sensor Multi-Target Tracking Scenarios

Analytic Performance Prediction of Track-to-Track Association with Biased Data in Multi-Sensor Multi-Target Tracking Scenarios

An analytic method for predicting the performance of track-to-track association (TTTA) with biased data in multi-sensor multi-target tracking scenarios is proposed in this paper. The proposed method extends the existing results of the bias-free situation by accounting for the impact of sensor biases...

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Bibliographic Details
Main Authors: Xiuming Shan, Jian Yang, Yue Wang, Wei Tian
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:Sensors
Subjects:
track-to-track association (TTTA)
sensor biases
analytic performance prediction
global nearest neighbor (GNN)
Online Access:http://www.mdpi.com/1424-8220/13/9/12244

Internet

http://www.mdpi.com/1424-8220/13/9/12244

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