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Title
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Investigating Target Trajectory Problem using a Simple De-correlation Scheme
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Sub-Title |
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Subject |
Extended Kalman Filter (EKF), De-correlation techniques, Noise correlation
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Sub-Subject |
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Author |
Mohammad Ahmad Choudhry, Tahir Mahmood, Aamir Hani
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Publish Year |
2012 |
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Supervisor |
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Diss#. |
- |
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Chapters |
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Pages |
273-283 |
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Text Language |
English |
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Accession |
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Library Section |
Research Article |
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Abstract |
we have investigated the problem of target tracking in Cartesian coordinates with polar measurements. To compensate
for the non-linearity existing due to Cartesian to polar coordinate transformation, the extended Kalman filter is employed
to get the state estimate of the target. In most of the modern radars, the measurement frequency is much higher thus,
causing correlation in the measurement errors. If this correlation is not considered in the measurement model then the
tracking performance will certainly degrade. The Kalman filter equations need to be modified while taking correlated
noise into account. There are different techniques available for de-correlation of colored noise. A simple de-correlation
scheme is proposed for tracking target which is also undergoing maneuver due to atmospheric turbulence. Simulation
results show that significant improvement in tracking performance is obtained considering noise correlation.
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