Search Results - "Orguner, U."

A phd Filter for Tracking Multiple Extended Targets Using Random Matrices by Granstrom, K., Orguner, U.

“…This paper presents a random set based approach to tracking of an unknown number of extended targets, in the presence of clutter measurements and missed…”
Get full text

New prediction for extended targets with random matrices by Granstrom, Karl, Orguner, U.

“…This paper presents a new prediction update for extended targets whose extensions are modeled as random matrices. The prediction is based on several…”
Get full text

Fingerprinting Localization in Wireless Networks Based on Received-Signal-Strength Measurements: A Case Study on WiMAX Networks by Bshara, M., Orguner, U., Gustafsson, F., Van Biesen, L.

“…This paper considers the problem of fingerprinting localization in wireless networks based on received-signal-strength (RSS) observations. First, the…”
Get full text

Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis by Akin, B., Orguner, U., Toliyat, H.A., Rayner, M.

“…In this paper, the effects of inverter harmonics on motor current fault signatures are studied in detail. It is theoretically and experimentally shown that the…”
Get full text

Maximum Likelihood Estimation of Transition Probabilities of Jump Markov Linear Systems by Orguner, U., Demirekler, M.

“…This paper describes an online maximum likelihood estimator for the transition probabilities associated with a jump Markov linear system (JMLS). The maximum…”
Get full text

Risk-Sensitive Particle Filters for Mitigating Sample Impoverishment by Orguner, U., Gustafsson, F.

“…Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the…”
Get full text

Phase-Sensitive Detection of Motor Fault Signatures in the Presence of Noise by Akin, B., Orguner, U., Toliyat, H.A., Rayner, M.

“…In this paper, a digital signal processor-based phase-sensitive motor fault signature detection technique is presented. The implemented method has a powerful…”
Get full text

Simple Derivative-Free Nonlinear State Observer for Sensorless AC Drives by Akin, B., Orguner, U., Ersak, A., Ehsani, M.

“…In this paper, a new Kalman filtering technique, unscented Kalman filter (UKF), is utilized both experimentally and theoretically as a state estimation tool in…”
Get full text

Analysis of single Gaussian approximation of Gaussian mixtures in Bayesian filtering applied to mixed multiple-model estimation by Orguner, U., Demırekler, M.

“…This paper examines the effect of the moment-matched single Gaussian approximation, which is made in various multiple-model filtering applications to…”
Get full text

A Variational Measurement Update for Extended Target Tracking With Random Matrices by Orguner, U.

“…This correspondence proposes a new measurement update for extended target tracking under measurement noise when the target extent is modeled by random…”
Get full text

An Extended Target CPHD Filter and a Gamma Gaussian Inverse Wishart Implementation by Lundquist, C., Granstrom, K., Orguner, U.

“…This paper presents a cardinalized probability hypothesis density (CPHD) filter for extended targets that can result in multiple measurements at each scan. The…”
Get full text

On Spawning and Combination of Extended/Group Targets Modeled With Random Matrices by Granstrom, K., Orguner, U.

“…In extended/group target tracking, where the extensions of the targets are estimated, target spawning and combination events might have significant…”
Get full text

Target Tracking With Particle Filters Under Signal Propagation Delays by Orguner, U, Gustafsson, F

“…Signal propagation delays are hardly a problem for target tracking with standard sensors such as radar and vision due to the fact that the speed of light is…”
Get full text

A Simple Real-Time Fault Signature Monitoring Tool for Motor-Drive-Embedded Fault Diagnosis Systems by Akin, B, Seungdeog Choi, Orguner, U, Toliyat, H A

“…The reference frame theory constitutes an essential aspect of electric machine analysis and control. In this study, apart from the conventional applications,…”
Get full text

The Marginal Enumeration Bayesian Cramér-Rao Bound for Jump Markov Systems by Fritsche, Carsten, Orguner, Umut, Svensson, Lennart, Gustafsson, Fredrik

“…A marginal version of the enumeration Bayesian Cramér-Rao Bound (EBCRB) for jump Markov systems is proposed. It is shown that the proposed bound is at least…”
Get full text

Robust Tracking in Cellular Networks Using HMM Filters and Cell-ID Measurements by Bshara, M, Orguner, U, Gustafsson, F, Van Biesen, L

“…A localization algorithm based on cell identification (Cell-ID) information is proposed. Instead of building the localization decisions only on the serving…”
Get full text

State estimation of induction motor using unscented Kalman filter by Akin, B., Orguner, U., Ersak, A.

“…In this paper, a new estimation technique unscented Kalman filter (UKF) is applied to state observation in field oriented control (FOC) of induction motor…”
Get full text

A comparative study on Kalman filtering techniques designed for state estimation of industrial AC drive systems by Akin, B., Orguner, U., Ersak, A.

“…In this paper, two different Kalman filtering techniques, unscented Kalman filter (UKF) and extended Kalman filter (EKF) are investigated and compared both…”
Get full text

An experimental performance test of a derivative-free non-linear state observer designed for sensorless AC drives by Akin, B., Orguner, U., Ersak, A.

“…In this paper, a new Kalman filtering technique, unscented Kalman filter (UKF) is utilized both experimentally and theoretically as a state estimation tool in…”
Get full text

On information measures based on particle mixture for optimal bearings-only tracking by Skoglar, P., Orguner, U., Gustafsson, F.

“…In this work we consider a target tracking scenario where a moving observer with a bearings-only sensor is tracking a target. The tracking performance is…”
Get full text