Paper Info
Title
Multiple Targets Tracking with Big Data-Based Measurement for Extended Binary Phase Shift Keying Transceiver.
Abstract
Extended binary phase shift keying (EBPSK) transmit-receive system is considered as a high-resolution radar tracking system. The target kinematic states can be estimated from a time series of target range and velocity measurements. The measurements usually have a huge amount of data. In this article, we present a big data-based tracking strategy comprising Doppler measurements as part of the data association procedure and evaluate the advantages of the proposed scheme. First, the principle of EBPSK transceiver is introduced. In the proposed system, range spread target can be denoted by the target impulse response. Second, we proposed an efficient big data association scheme that utilizes both target range and target velocity measurements for linear multitarget (LMs) tracking. When the target velocity measurements are not incorporated into target kinematic state estimation, the nonlinear filter bank for the combination of the component of target velocity measurements is not necessary. Finally, a great enhancement in the tracking performance of the big Doppler data association method with the LMs combined probabilistic data association scheme is demonstrated by simulation experiment.
Year
DOI
Venue
2019
10.1089/big.2018.0127
BIG DATA
Keywords
DocType
Volume
Doppler data association,EBPSK,linear multitarget integrated probabilistic data association algorithm,radar tracking,tracking performance
Journal
7
Issue
ISSN
Citations 
SP2
2167-6461
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yao Yu100.34
Junhui Zhao200.34
Lenan Wu370062.18