State Space Initiation for Blind Mobile Terminal Position Tracking

State Space Initiation for Blind Mobile Terminal Position Tracking

Blind localization and tracking of mobile terminals in urban scenarios is an important requirement for offering new locationbased services, handling emergency cases of nonsubscribed users, public safety, countering IEDs, and so forth. In this context, we propose a track-before-detect scheme taking explicitly advantage of multipath propagation in an urban terrain by using a priori information ab...

Blind Deconvolution / EqualizationUsing State - Space

In this paper we propose extension of multichannel blind equalization problem assuming that both mixing and demixing models are described by stable linear state-space systems. The problem is formulated as an optimization task. New learning algorithms are developed which can be considered as extension of existing algorithms. By applying demixing state-space model we will be able to reduce comple...

Robust Likelihood Function for Blind Mobile Terminal Localization

The focus of this contribution is put on the blind localization of mobile terminals in urban scenarios. The proposed localization method exploits multipath propagation, which is typical of urban terrain. It is assumed that each multipath component is characterized by its direction of arrival (DoA) and relative time of arrival (RToA) parameter. In essence the developed method compares the multip...

Fast Grid-Based Position TRacking for Mobile Robots

One of the fundamental problems in the eld of mobile robotics is the estimation of the robot's position in the environment. Position probability grids have been proven to be a robust technique for the estimation of the absolute position of a mobile robot. In this paper we describe an application of position probability grids to position tracking. Given a starting position our approach keeps tra...

Position Estimation for Goods Tracking System Using Mobile Detectors