S. K. Kashyap

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A 3-model interacting multiple model extended Kalman filter with constant velocity, constant acceleration and constant turn models (IMMEKF-VAT) is proposed for tracking a maneuvering target undergoing acceleration as well as turn maneuvers in the Cartesian z x − plane. Its performance is compared with 2-model IMMEKF-VA. Performance comparison indicates that(More)
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(More)
Seeker filter is an important subsystem in modern homing guidance system of advanced intercepting missiles. Seeker filter design for homing guidance requirements are highly demanding and challenging. Very low filter lag, high noise attenuation are some of the challenges that need to be addressed. This paper presents an interacting multiple model augmented(More)
EXTENDED ABSTRACT Sensor Fault Detection Identification and Accommodation (SFDIA) is an important part of safety critical systems used in aircraft. SFDIA can be achieved either by hardware redundancy or analytical redundancy technique. The advantages like reduced complexity, cost and weight of analytical redundancy over hardware redundancy encourages the(More)
In modern air combat operations, the mental workload for fighter pilots is extremely high. The pilot has to make fast dynamic decisions under high uncertainty and high time pressure. This is hard to perform in Within Visual Range (WVR) combat operations, but becomes even harder in Beyond Visual Range (BVR) combat operations where the on-board sensors of(More)
In recent Iireranrre CI derivarivefree Kalman .filter (D F U) a merhod thar propagates mean and covariance using non-linear lransformaiioiz is freqvent~~ used. In this paper i) facrorized versiun uf EKF (VD &tended Kalman Filter or UDEKF) and ii) DFKF are studied and evaluated using various sets of' simulared data of the non-linear sysslems. Seusirivif?.(More)
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