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Optical Engineering

Improvement of track-to-track fusion for dual-mode homing guidance with target-orientation measurements
Author(s): Hoonkyung Cho; Joohwan Chun; Sungchan Song; Sangwon Jung
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Paper Abstract

We present three-dimensional (3-D) target tracking based on fused radar and infrared (IR) sensor data with the inclusion of target orientation in the measurement vector. We provide the noise statistic of IR-sensor measurements, including target orientation measured from the IR image. The track-to-track fusion with extended Kalman filter is used to combine radar with IR sensor data. In conventional tracking approaches, there is a fundamental limitation in that it is difficult to accurately estimate the current acceleration of the target, even with nearly perfect measurements of range and angle relative to the target. The correlation between target orientation and velocity can be used to overcome this limitation. We evaluate tracking performance to show how much improvement is obtainable through the inclusion of the target orientation in the measurement data for a realistic 3-D scenario.

Paper Details

Date Published: 23 October 2015
PDF: 8 pages
Opt. Eng. 54(10) 103110 doi: 10.1117/1.OE.54.10.103110
Published in: Optical Engineering Volume 54, Issue 10
Show Author Affiliations
Hoonkyung Cho, KAIST (Republic of Korea)
Joohwan Chun, KAIST (Republic of Korea)
Sungchan Song, Hanwha Thales Co., Ltd. (Republic of Korea)
Sangwon Jung, Hanwha Thales Co., Ltd. (Republic of Korea)


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