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Communications computing

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  • 1984 [1]

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  • K.V. Ramachandra [1]
Position, velocity and acceleration estimates from the noisy radar measurements
Author(s): K.V. Ramachandra
Source: IEE Proceedings F (Communications, Radar and Signal Processing), Volume 131, Issue 2, 1984 , p. 167 - 168
Type: Article
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A two-dimensional Kalman tracking filter is described for obtaining optimum estimates of position, velocity and acceleration of an aircraft whose acceleration is perturbed due to manoeuvres and/or other random factors. In a track-while-scan operation, a two-dimensional radar sensor is assumed to measure the range and bearing of the vehicle at uniform sampling intervals of time T seconds through random noise. The steady-state gain characteristics of the filter have been analytically obtained and the computer results are presented.

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