Application of Linear Predictive Coding and Data Fusion Process for Target Tracking by Doppler Through-Wall Radar

The issue of ambiguous frequency is a major drawback of the Doppler through-wall radar in target tracking applications. To solve the issue, an additional receiver, which can acquire target information from a different detection perspective, is added to the radar system, and the data fusion process i...

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Veröffentlicht in:IEEE transactions on microwave theory and techniques Jg. 67; H. 3; S. 1244 - 1254
Hauptverfasser: Ding, Yipeng, Yu, Xiali, Zhang, Juan, Xu, Xuemei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Ambiguous frequency
Coding
data fusion process
Data integration
Doppler effect
Doppler radar
Doppler through-wall radar (TWR)
Interference
Linear prediction
linear prediction coding (LPC)
Moving targets
Multisensor fusion
Radar
Radar tracking
Receivers
Target acquisition
Target recognition
Target tracking
ISSN:0018-9480, 1557-9670
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Zusammenfassung:The issue of ambiguous frequency is a major drawback of the Doppler through-wall radar in target tracking applications. To solve the issue, an additional receiver, which can acquire target information from a different detection perspective, is added to the radar system, and the data fusion process is proposed to identify and track the targets in real time. The linear prediction coding technique is combined with the data fusion process to predict the target initial state for higher positioning accuracy. Compared with the traditional tracking approach, the proposed algorithm can not only improve the target positioning accuracy, suppress the issue of ambiguous frequency, but also help to identify stationary and tangentially moving targets, which is very essential in target tracking applications. A series of experiments are conducted to illustrate an outranking performance of the proposed algorithm in comparison with the traditional approach.
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ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2018.2885973