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Proceedings Paper

A new active and passive asynchronous fusion tracking of maneuvering target
Author(s): Zhang Wei; Jiang Hong; Song Long; Ren Zhang
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Paper Abstract

A new asynchronous data fusion algorithm was adopted in this paper. This new fusion algorithm was based on the feedback fusion and the delicate time-slicing. Its basic idea is: at instants with neither passive (PTT) nor active target track-ing (ATT) measurements, it will predict this instant's states based on last instant's filtering result; at instants with only active or passive target tracking measurement, it will use its own filtering algorithm i.e., Converted Measurement Kalma-n Filter (CMKF) for active radar, Pseudo Linear Estimator (PLE) with frequency information for passive radar to get this instant's states; at instants with both passive and active target tracking measurements, it will fuse the active and passive measurements by feedback fusion algorithm, with the passive radar receiving the feedback information. The advantage of this new algorithm is that it can fuse the active and passive target tracking with non multiple integer sampling period ratio. This paper also extended the 2D constant velocity moving target to the 3D maneuvering target. Simulation results indicate that the new fusion algorithm can improve the tracking performance in some acceptable degree.

Paper Details

Date Published: 30 October 2006
PDF: 5 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63585H (30 October 2006); doi: 10.1117/12.718385
Show Author Affiliations
Zhang Wei, Beihang Univ. (China)
Jiang Hong, Beihang Univ. (China)
Song Long, Beihang Univ. (China)
Ren Zhang, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation

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