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Doppler Information Optimization through Fusion Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 27 - Number 11 |
| Year of Publication: 2011 |
| Authors: J. Valarmathi, D. S. Emmanuel, S. Christopher |
10.5120/3342-4601
|
J. Valarmathi, D. S. Emmanuel, S. Christopher . Doppler Information Optimization through Fusion Algorithms. International Journal of Computer Applications. 27, 11 ( August 2011), 37-43. DOI=10.5120/3342-4601
Abstract
This paper analyses the velocity estimation of a target, from the Doppler filter using 1) Kalman filter 2) Adaptive Kalman filter 3) Kalman filter with state vector fusion 4) Adaptive Kalman filter with state vector fusion 5) State vector fused adaptive Kalman filter. Simulation through MATLAB gave good response for 4th and 5th algorithms under low signal to noise ratio. 2nd and 3rd algorithms gave better results in intensive maneuvers. But 1st algorithm even though it is low cost and faster, fails due to the delay in response.
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