Adaptive Kalman filter based on integer ambiguity validation in moving base RTK

Extended Kalman Filter Based Fuzzy Adaptive Filter

Moving Target Tracking Based on CamShift Approach and Kalman Filter

The surveillance system has been developed for decades. It has reduced the crime andprotected the lives and properties of people successfully. Some surveillance systems are composed ofPTZ cameras. Therefore the moving people or target objects could be tracked by the surveillancesystem. The surveillance system becomes more and more interment. However, there are twoproblems occurr...

adaptive setting of scaling parameter in unscented kalman filter based on interactive multiple modes

this paper studies the use of unscented kalman filters (ukf) to estimate nonlinear dynamics and, specifically, adaptive determination of scaling parameters in these filters. due to lack of analytic solution and use of numerical methods instead, the computational load of these filters increases drastically. in this paper, a new method is proposed based on interactive multiple models (imm) which ...

Doppler and bearing tracking using fuzzy adaptive unscented Kalman filter

The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...

Speech Enhancement Based on a Robust Adaptive Kalman Filter

This paper deals with the problem of Adaptive Noise Cancellation (ANC) when only a corrupted speech signal with an additive Gaussian white noise is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain. All the approaches based on the Kalma...