Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Interacting Multiple Model"”.
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Using Interacting Multiple Model Filters to Indicate Program Risk
… use of two Kalman filters in for the form of an Interacting Multiple Model (IMM) in order to predict the future state of the program. Traditional multiple model filters use Bayesian technique to adaptively switch between different motion models implemented in the filter structure (USA Patent No. …
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Ballistic missile tracking using the interacting multiple model joint probabilistic data association filter
… interceptor algorithms. The feasibility of the interacting multiple model joint probabilistic data association filter to effectively track a ballistic missile and detect decoys and maneuvers is the focus of this thesis. Model development and data association schemes are discussed along with …
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Adaptive Coded Modulation Classification and Spectrum Sensing for Cognitive Radio Systems. Adaptive Coded Modulation Techniques for Cognitive Radio Using Kalman Filter and Interacting Multiple Model Methods
… layer of the above core engines. Approximate modelling of Rayleigh and finite state Markov channels (FSMC) with a new concept borrowed from econometric studies have been approached. Then insightful channel estimation by using Kalman filter (KF) augmented with interacting multiple model (IMM) …
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A Comparison of Multiple-Model Target Tracking Algorithms
There are many multiple-model (MM) target-tracking algorithms that are available but there has yet to be a comparison that includes all of them. This work compares seven of the currently most popular MM algorithms in terms of performance, credibility, and computational complexity. The algorithms to …
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Modelling, control and monitoring of high redundancy actuation
… actuators are considered. An element model for a moving coil actuator is derived from first principles and verified experimentally. This element model is then used to form high-order, non-linear HRA models for simulation, and reduced-order representations for control design. A simple, …
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Modellbasierte Diagnose auf Basis Differential-Algebraischer Systeme mit Nichtlinearen Kalman-Filtern
The model-based diagnosis is an approach for the characterizing of the behavior of a system in respect of an appropriately defined reference behavior. In this context, the reference behavior is described by mathematical models. This thesis considers the models formulated as Differential-Algebraic …
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Detection and tracking of cells and focal adhesions in microscopy images
… keratinocyte. In particular, the use of the Interacting Multiple Model (IMM) algorithm is proposed given its ability to take into account several different motion models at every given time. Within this framework, we formulate the data association problem as two linear assignment problems and …
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Multiple-model tracking with fixed-lag smoothing using imprecise information
A new multiple-model filter for target tracking has been developed and performed well in this thesis. The procedure of the new multiple model (MM) filter has no compromises between non-manoeuvre and manoeuvre, and between manoeuvres except in the ambiguous cases. The operation of the new MM filter …
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Onboard Aircraft Traffic Tracking Algorithm to Support Conflict Detection and Resolution using Multi-sensor Data Integration and Integrity Monitoring
… These relative baseline vectors are input to an Interacting Multiple Model (IMM) filter, which consist of multiple Kalman filters with different dynamics models running in parallel and interacting with each other through an underlying Markov chain. The estimated baseline vectors are obtained from …
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Feedback particle filter and its applications
… of nonlinearities, not only in the signal models but also in the observation models. For such cases, Kalman filters are known to perform poorly. This motivates simulation-based methods to approximate the infinite-dimensional solution of the K-S SPDE. One popular approach is the particle …