Paper Info
Title
TDOA-FDOA based multiple target detection and tracking in the presence of measurement errors and biases
Abstract
This paper considers joint detection and tracking of multiple targets using a sequence of time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements obtained from a pair of receivers. The number of targets, as well as the position and velocity of each target are assumed to be unknown and time-varying. A particle filtering based data association (PFDA) method is employed to detect and track multiple targets. The birth, survival and death models together with the motion model are defined to describe the target dynamics, and different hypotheses on the measurement-target associations are generated and evaluated by using a particle filtering (PF). Since errors and biases can be present in the measurements due to sensor synchronization errors and non line of sight wave propagation, a bank of random walk modes are included to model the biases and errors. The likelihood of the particles are thus computed by combining all these modes so that the biased measurement can also be associated with the target track. Empirical experiments are conducted to demonstrate the performance of our proposed approach.
Year
DOI
Venue
2016
10.1109/SPAWC.2016.7536786
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Keywords
Field
DocType
detection and tracking,data association,particle filtering,time difference of arrival,frequency difference of arrival
Non-line-of-sight propagation,Object detection,Synchronization,Computer science,Random walk,Particle filter,FDOA,Electronic engineering,Multilateration,Observational error
Conference
ISSN
ISBN
Citations 
2325-3789
978-1-5090-1750-8
0
PageRank 
References 
Authors
0.34
15
5
Name
Order
Citations
PageRank
Xionghu Zhong115214.61
Wee Peng Tay256152.82
Mei Leng322313.44
Sirajudeen Gulam Razul49614.41
Chong Meng Samson See517519.41