Steady-State Analysis of Target Tracker with Constant Input/Bias Constraint |
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Authors: | Yujing Liu Huadong Meng ¿ì Desheng Wang û |
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Institution: | aDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China |
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Abstract: | Navigation and surveillance applications require tracking constant input/bias targets. When the target's trajectory follows a constant input/bias constraint, model mismatching caused by conventional track-ing algorithms can be handled by a delayed update filter (DUF). The statistical convergence and stability properties of the delayed update filter were studied to insure the rationality of its steady-state analysis. A steady-state filter gain was then designed for a constant-gain DUF to reduce the computations without much performance loss. Simulations demonstrate the potential of the constant-gain DUE and the CGDUF is nearly 60% faster than the DUF without much loss in steady-state tracking accuracy. |
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Keywords: | target tracking Kalman filter delayed update filter |
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