Real-time FPGA-based Kalman filter for constant and non-constant velocity periodic error correction
نویسندگان
چکیده
منابع مشابه
Fixed-point FPGA Implementation of a Kalman Filter for Range and Velocity Estimation of Moving Targets
Tracking filters are extensively used within object tracking systems in order to provide consecutive smooth estimations of position and velocity of the object with minimum error. Namely, Kalman filter and its numerous variants are widely known as simple yet effective linear tracking filters in many diverse applications. In this paper, an effective method is proposed for designing and implementa...
متن کاملConstant Space and Non-Constant Time in Distributed Computing
While the relationship of time and space is an established topic in traditional centralised complexity theory, this is not the case in distributed computing. We aim to remedy this by studying the time and space complexity of algorithms in a weak message-passing model of distributed computing. While a constant number of communication rounds implies a constant number of states visited during the ...
متن کاملFPGA-Based MWD for Network Error Correction
This paper presents reconfigurable hardware architecture for MWD (Minimum Weight Decoding) algorithm for network error correction, with high throughput on Field Programmable Gate Array (FPGA). Network Error Correction (NEC) is used for detecting and correcting the errors in noisy communication channels when multicasting a source message to a set of nodes. Minimum Weight Decoding (MWD) algorithm...
متن کاملFPGA implementation of adaptive temporal Kalman filter for real time video filtering
Filtering noise in real-time image sequences is required in some applications like medical imaging. The optimum approach in this case is in the form of adaptive 3-D spatialtemporal filter, which is generally very complex and prohibitive for real-time implementation. Independent processing of the image sequences, in spatial and temporal domains can resolve some of these implementation difficulti...
متن کاملMobile Robot Navigation Error Handling Using an Extended Kalman Filter
Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Precision Engineering
سال: 2017
ISSN: 0141-6359
DOI: 10.1016/j.precisioneng.2016.11.013