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The Study of Multisensor Tracking Algorithm

Author: LiuXiangYang
Tutor: YangZuoJuan
School: Xi'an University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Multi_sensor Data Fusion Extended Kalman Filter Target Tracking Object-Oriented
CLC: TP212
Type: Master's thesis
Year: 2001
Downloads: 0
Quote: 2
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Abstract


In order to improve the anti-jam ability of centralized surveillance and trackingsystem, a multisensor data tracking and fusion algorithm is presented which is used forthe system composed of a four band radar, a passive infrared angular tracker, atelevision angular tracker, and a laser distance detector. The algorithm firstly compressthe measurements of the same kind, and then update the target track using multisensorprobabilistic data association method and predict the position of next time. Anexperimental system of implementing this idea has been constructed .In this system,PC is a data generated and transmitted and system controled platform, TMS32OC3Osignal processing board is a data fusion platform.The analysis and design of this systemis presented. Both numerical simulation and system expemental results show that thehybrid fusion scheme can provide high tracking accuracy , better antijam ability andbetter reliability.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor
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