Sökning: "Multiple model filtering"
Visar resultat 1 - 5 av 40 avhandlingar innehållade orden Multiple model filtering.
1. Multiple Model Filtering and Data Association with Application to Ground Target Tracking
Sammanfattning : This thesis is concerned with two central parts of a tracking system, namely multiple-model filtering and data association. Multiple models are introduced to provide accurate filtering, whereas data association deals with the unknown origin of the received measurements. LÄS MER
2. Continuous-filtering Vernier spectroscopy
Sammanfattning : Continuous-filtering Vernier spectroscopy (CF-VS) is a laser-based detection technique that combines the broad spectral coverage of an optical frequency comb (OFC) with the enhanced interaction length provided by an optical cavity. The resonances of the cavity filter the OFC to a small group of comb modes that probe the transitions of the species present in the cavity. LÄS MER
3. Poisson Multi-Bernoulli Mixtures for Multiple Object Tracking
Sammanfattning : Multi-object tracking (MOT) refers to the process of estimating object trajectories of interest based on sequences of noisy sensor measurements obtained from multiple sources. Nowadays, MOT has found applications in numerous areas, including, e.g. LÄS MER
4. Target Tracking in Complex Scenarios
Sammanfattning : This thesis is concerned with three important components in target track- ing, namely multiple-model filtering, data association and sensor resolution modeling. For multiple-model filtering, the preferred method has long been the Interacting Multiple Model (IMM) filter, which relies on the assumption that immediate model shifts have the highest probability. LÄS MER
5. Indirect System Identification for Unknown Input Problems : With Applications to Ships
Sammanfattning : System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. LÄS MER