System Dynamics Estimation for Kalman Filtering With Radial Acquisition
نویسندگان
چکیده
INTRODUCTION A Kalman filter provides causal operation, which is desirable in several rapid imaging applications. A successful real-time implementation of a Kalman filter has recently been developed used with spiral trajectories for applications in dynamic cardiac MRI and has been shown to outperform an existing sliding window method [1,2]., However there are different ways to estimate parameters of the filter. In this study, a method for estimating dynamics of the imaging application using a causal adaptation of a temporal filtering method based on a Density Compensation Function (DCF or tornado filter [3]) is presented. The method is demonstrated on a cardiac phantom for with a significantly undersampled radial acquisition. Radial acquisition may also provide other benefits, as their shorter data acquisition intervals per TR limit off-resonance blurring.
منابع مشابه
An Effective Attack-Resilient Kalman Filter-Based Approach for Dynamic State Estimation of Synchronous Machine
Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the security of KF-based state estimation, in this paper...
متن کاملOn Line Electric Power Systems State Estimation Using Kalman Filtering (RESEARCH NOTE)
In this paper principles of extended Kalman filtering theory is developed and applied to simulated on-line electric power systems state estimation in order to trace the operating condition changes through the redundant and noisy measurements. Test results on IEEE 14 - bus test system are included. Three case systems are tried; through the comparing of their results, it is concluded that the pro...
متن کاملRobust state estimation in power systems using pre-filtering measurement data
State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...
متن کاملEstimation of LOS Rates for Target Tracking Problems using EKF and UKF Algorithms- a Comparative Study
One of the most important problem in target tracking is Line Of Sight (LOS) rate estimation for using from PN (proportional navigation) guidance law. This paper deals on estimation of position and LOS rates of target with respect to the pursuer from available noisy RF seeker and tracker measurements. Due to many important for exact estimation on tracking problems must target position and Line O...
متن کاملکاهش تعداد ماهوارهها در یک سیستم ناوبری ترکیبی GPS/INS با استفاده از فیلتر ذرهای
The estimation of situation in a combinational navigation GPS/INS with least number of satellites is the main purpose of this paper. As inertial measurement unit uses altimeter for height measurement, we can assume which height poses certain amounts, whereas geographical length and width are unknown to us in this paper. The single difference GPS is employed for updating the inertial navigation ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009