Multisensor Data Fusion Fuzzy Similarity-based of Several Kalman Filters
نویسندگان
چکیده
منابع مشابه
Multisensor Data Fusion Architecture Based on Adaptive Kalman Filters and Fuzzy Logic Performance Assessment
In this work a novel Multi-Sensor Data Fusion (MSDF) architecture is presented. First, each measurement-vector coming from each sensor is fed to a Fuzzy Logic-based Adaptive Kalman Filter (FL-AKF); thus there are N sensors and N FL-AKFs working in parallel. The adaptation in each FL-AKF is in the sense of dynamically tuning the measurement noise covariance matrix R employing a fuzzy inference s...
متن کاملHybrid Kalman Filter-Fuzzy Logic Adaptive Multisensor Data Fusion Architectures
In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is used to build adaptive centralized, decentralized, and federated Kalman filters for Adaptive MultiSensor Data Fusion (AMSDF). The adaptation carried out is in the sense of adaptively adjusting the measurement noise covariance matrix of each local FL-AKF to fit the actual statistics of the noise profiles pre...
متن کاملMultisensor data fusion using fuzzy concepts
In this study, a fuzzy-based multisensor data fusion classifier is developed and applied to land cover classification using ERS-1/JERS-1 SAR composites. This classifier aims at the integration of multisensor and contextual information in a single and a homogeneous framework. Initial Fuzzy Membership Maps (FMM) to different thematic classes are first calculated using classes and sensors a priori...
متن کاملA Hybrid Kalman Filter-fuzzy Logic Multisensor Data Fusion Architecture with Fault Tolerant Characteristics
In this work a novel Multi-Sensor Data Fusion (MSDF) architecture with fault tolerant characteristics is proposed. This MSDF architecture is based on Kalman filtering and fuzzy logic techniques. First, the measurement coming from each sensor is fed to a fuzzy–adapted Kalman filter (FKF). The adaptation is in the sense of adjusting the measurement noise covariance matrix R using a fuzzy inferenc...
متن کاملFeature Dimension Reduction of Multisensor Data Fusion using Principal Component Fuzzy Analysis
These days, the most important areas of research in many different applications, with different tools, are focused on how to get awareness. One of the serious applications is the awareness of the behavior and activities of patients. The importance is due to the need of ubiquitous medical care for individuals. That the doctor knows the patient's physical condition, sometimes is very important. O...
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: The International Conference on Electrical Engineering
سال: 2008
ISSN: 2636-4441
DOI: 10.21608/iceeng.2008.34630