Kashyap, Sudesh Kumar and Raol, JR (2004) Fuzzy Logic Based Adaptive Filter for Target Tracking in Presence of Glint Noise. Technical Report. National Aerospace Laboratories, Bangalore, India.
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Abstract
It is well known that Kalman filter gives an optimal solution when the various uncertainties such13; as process noise or measurements noise are Gaussian. But the same filter gives a sub-optimal solution when the uncertainties are non-Gaussian. In radar system, measurement noise may show non-Gaussian distribution due to random wandering of the apparent measured position of13; a target due to interference of reflections from different elements of the target. This is referred to as the glint noise. Filtering in non-Gaussian environments has been studied by many researchers. Masreliez introduced a nonlinear score function as the corrective term in the state estimate. Other method proposed in literature is IMM based, where the filters are matched to the system with Gaussian/non-Gaussian observation noise. In this report,.a new algorithm is developed to handle the glint noise. It uses fuzzy membership function to model the glint noise. This algorithm shows. similar non-linear pattern of score13; function as mentioned by Masreliez and gives better tracking performance as compared to standard Kalman filter.
| Item Type: | Proj.Doc/Technical Report (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Kalman filter;Glint noise;Score function;Fuzzy membership |
| Subjects: | AERONAUTICS > Aircraft Design, Testing & Performance |
| Division/Department: | Flight Mechanics and Control Division, Flight Mechanics and Control Division |
| Depositing User: | Mrs Manoranjitha M D |
| Date Deposited: | 03 Feb 2009 |
| Last Modified: | 24 May 2010 09:39 |
| URI: | http://nal-ir.nal.res.in/id/eprint/970 |
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