Imaging Components, Systems, and Processing

Improvement of track-to-track fusion for dual-mode homing guidance with target-orientation measurements

[+] Author Affiliations
Hoonkyung Cho, Joohwan Chun

Korea Advanced Institute of Science and Technology, Department of Electrical Engineering, 291, Daehak-ro, Yusong-gu, Daejeon 305-701, Republic of Korea

Sungchan Song, Sangwon Jung

PGM Center, Samsung Thales Co., 304 Chang-li, Namsa-Myeon, Cheoin-Gu, Yongin, Gyeongi-do 449-886, Republic of Korea

Opt. Eng. 54(10), 103110 (Oct 23, 2015). doi:10.1117/1.OE.54.10.103110
History: Received May 18, 2015; Accepted September 28, 2015
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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.

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Citation

Hoonkyung Cho ; Joohwan Chun ; Sungchan Song and Sangwon Jung
"Improvement of track-to-track fusion for dual-mode homing guidance with target-orientation measurements", Opt. Eng. 54(10), 103110 (Oct 23, 2015). ; http://dx.doi.org/10.1117/1.OE.54.10.103110


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