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Kutluyil Dogancay

7 accepted papers

2018

Computationally Efficient Iv-Based Bias Reduction for Closed-Form Tdoa Localization

ICASSP 2018accepted

This paper develops a new computationally efficient bias reduction method for the well-known algebraic closed-form solution for time-difference-of-arrival (TDOA) localization developed by Chan and Ho. The noise correlation between the regressor and regressand in the formulation of the linearized lea…

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2018

Improved Weighted Instrumental Variable Estimator for Doppler-Bearing Source Localization in Heavy Noise

ICASSP 2018accepted

In Doppler-bearing source localization, pseudolinear estimators are appealing alternatives to the divergence-prone and computationally-demanding iterative maximum likelihood estimator. Among the existing pseudolinear estimators, the weighted instrumental variable estimator (WIVE) is the most attract…

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2016

3D pseudolinear Kalman filter with own-ship path optimization for AOA target tracking

ICASSP 2016accepted

This paper investigates the problem of how to optimize the path of a single moving own-ship for angle-of-arrival (AOA) target tracking in three-dimensional (3D) space. First, a novel 3D pseudolinear Kalman filter (PLKF) is proposed to reduce computational complexity and to improve stability of an ex…

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2016

Algebraic solution for stationary emitter geolocation by a LEO satellite using Doppler frequency measurements

ICASSP 2016accepted

This paper presents a new algebraic solution for the Doppler positioning problem where the position of a stationary emitter is estimated from Doppler frequency measurements collected by a single low-earth-orbit (LEO) satellite. The proposed algebraic solution can be used for effective initialization…

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2015

Model-distributed solution of regularized least-squares problem over sensor networks

ICASSP 2015accepted

We develop a fully-distributed iterative algorithm for finding a model-distributed least-squares solution of systems of linear equations over sensor networks. Here, model-distributed means the solution vector is distributed across the network rather than being replicated at each node. For this purpo…

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