Fuzzy Logic Based Adaptive Filter for Target Tracking in Presence of Glint Noise

Kashyap, SK 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: Monograph (Technical Report)
Uncontrolled Keywords: Kalman filter;Glint noise;Score function;Fuzzy membership
Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
Depositing User: Users 15 not found.
Date Deposited: 03 Feb 2009
Last Modified: 14 Aug 2015 05:02
URI: http://nal-ir.nal.res.in/id/eprint/970

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