Fusion of data from multiple sensors can be hindered by systematic errors known as biases, which generally include both deterministic and stochastic components. The deterministic errors can be estimated and then used to debias the sensor measurements prior to fusion. However, the remaining stochastic part, typically referred to as a "residual" bias, can still severely degrade tracking performance. Specifically, residual biases can lead to degradation in covariance consistency, data misassociation, and spurious/redundant tracks, if left unaddressed. This paper presents an algorithm based on the Schmidt-Kalman filter for mitigating the effects of residual biases on sensor attitude and measurement generation. The algorithm incorporat...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In the problem of target tracking, different types of biases can enter into the measurement collecte...
Established state-of-the art methods for target tracking assume perfect knowledge of the sensor posi...
Most of the literature pertaining to target tracking assumes that the sensor data are corrupted by m...
Most of the literature pertaining to target tracking assumes that the sensor data are corrupted by m...
A solution to exact Track-to-Track Fusion (T2TF) at arbitrary communication rates has been found und...
This paper considers the problem of constructing a filter for estimating attitude and rate-sensor bi...
In the field of target tracking there are many challenges associated with error in sensor measuremen...
© 1963-2012 IEEE.This article proposes two novel covariance-tuning methods to form a robust Kalman f...
In the field of target tracking there are many challenges associated with error in sensor measuremen...
Although there have been numerous studies on maneuvering target tracking, few studies have focused o...
Determining the process noise covariance of the unscented Kalman filter (UKF) is a difficult procedu...
This thesis deals with multisensor fusion in the presence of systematic errors in the context of tar...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In the problem of target tracking, different types of biases can enter into the measurement collecte...
Established state-of-the art methods for target tracking assume perfect knowledge of the sensor posi...
Most of the literature pertaining to target tracking assumes that the sensor data are corrupted by m...
Most of the literature pertaining to target tracking assumes that the sensor data are corrupted by m...
A solution to exact Track-to-Track Fusion (T2TF) at arbitrary communication rates has been found und...
This paper considers the problem of constructing a filter for estimating attitude and rate-sensor bi...
In the field of target tracking there are many challenges associated with error in sensor measuremen...
© 1963-2012 IEEE.This article proposes two novel covariance-tuning methods to form a robust Kalman f...
In the field of target tracking there are many challenges associated with error in sensor measuremen...
Although there have been numerous studies on maneuvering target tracking, few studies have focused o...
Determining the process noise covariance of the unscented Kalman filter (UKF) is a difficult procedu...
This thesis deals with multisensor fusion in the presence of systematic errors in the context of tar...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...
In this dissertation, three problems in the area of tracking, track-to-track fusion and surveillance...