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- W2015963428 abstract "We consider the problem of initializing the tracking filter of a target moving with nearly constant velocity when position- only (1D,2D,or3D) measurements are available. It is known that the Kalman filter is optimal for such a problem, provided it is correctly initialized. We compare a single-point and the well-known two-point difference track initialization algorithms. We analytically show that if the process noise approaches zero and the maximum speed of a target used to initialize the velocity variance approaches infinity, then the single-point algorithm reduces to the two-point difference algorithm. We present numerical results that show that the single-point algorithm performs consistently better than the two-point difference algorithm in the mean square error sense. We also present analytical results that support the conjecture that this is true in general." @default.
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- W2015963428 date "2008-03-01" @default.
- W2015963428 modified "2023-10-02" @default.
- W2015963428 title "Comparison of Single-point and Two-point Difference Track Initiation Algorithms Using Position Measurements" @default.
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- W2015963428 doi "https://doi.org/10.3724/sp.j.1004.2008.00258" @default.
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