Analysis of Bistatic Range and Velocity Tracking Performance according to Dynamic Models in Passive Bistatic Radar
Pages 195 - 198
Abstract
This paper analyzes the bistatic range and velocity tracking performance of a target according to the dynamic model of the Kalman filter in a passive bistatic radar (PBR). The bistatic range and velocity can be derived using the time difference and Doppler frequency, respectively. In order to improve the detection performance of the location and velocity of the target in the PBR, time difference and Doppler frequency need to be precisely estimated. This can be achieved by tracking the state of an object with the use of a Kalman filter, the tracking performance of which is affected by the used dynamic model. In this paper, constant velocity model and constant acceleration model are used for analyzing the tracking performance of bistatic range and velocity obtained by the Kalman filter in target movement with constant velocity and acceleration.
References
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F. D. V. Maasdorp, M. R. Inggs, and R. Nadjiasngar, "Target Tracking using Doppler-only Measurements in FM Broadcast Band Commensal Radar," Electronics Letters, vol. 51, no. 19, pp. 1528--1530, 2015.
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F. Colone, C. Martelli, C. Bongioanni, D. Pastina, and P. Lombardo, "WiFi-based PCL for Monitoring Private Airfields," IEEE Aerospace and Electronics Systems Mag., pp. 22--29, 2017
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A. Baruzzi, G. Borunaka, J. Heckenbach and H. Kuschel "Experimental Validation of Kalman Filter Based Tracking in Passive Radar Systems," IEEE International Radar Conference, pp. 1634--1637, 2015, Arlington, VA, USA
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Index Terms
- Analysis of Bistatic Range and Velocity Tracking Performance according to Dynamic Models in Passive Bistatic Radar
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Published In
February 2018
260 pages
ISBN:9781450364102
DOI:10.1145/3192975
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- Macquarie University-Sydney
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 February 2018
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- Refereed limited
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ICCAE 2018
ICCAE 2018: 2018 10th International Conference on Computer and Automation Engineering
February 24 - 26, 2018
Brisbane, Australia
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