Maritime radar simulator based on DSP board using switched slide window tracker

Han, Jeong Hee; Andrews, M; Bae, Jinho; Lee, Chong Hyun; Jeon, Hyoung-Goo

doi:10.1109/oceans.2008.5151945

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2010

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“…The well known α-β tracking filter [1,2] and Kalman filter [3] estimate position and velocity by using measurements of maneuvering targets. The Kalman filter shows excellent tracking performance, if the target dynamics and statistical characteristics of measurement noise are available, which is difficult to obtain in advance [4].…”

Section: Introductionmentioning

confidence: 99%

A novel manuevering target tracking algorithm based on moving slide window

Bae

Lee

Jeon

2010

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

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We propose a novel tracking algorithm called slide window tracker (SWT) suitable for maneuvering target. To efficiently estimate trajectory of moving target, we adopt a sliding piecewise linear window which includes past trace information. By adjusting the window parameters, the proposed algorithm is to reduce measurement noise and to track fast maneuvering target with little computational increment as compared to α-β tracker. Throughout the computer simulations, we verify outstanding tracking performance of the SWT algorithm in noisy linear and nonlinear trajectories. Also, we show that the SWT algorithm is not sensitive to initial model parameter selection, which gives large degree of freedom in applying the SWT algorithm to unknown time-varying measurement environments.

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