Array of sensors: A spatiotemporal-state-space model for target trajectory tracking

In this paper, with the objective of tracking the trajectory of multiple mobile targets, a novel spatiotemporal-state-space model is introduced for an array of sensors distributed in space. Under the wideband assumption, the proposed model incorporates the array geometry in conjunction with crucial target parameters namely (i) ranges, (ii) directions, (iii) velocities and (iv) associated Doppler effects. Computer simulation studies show some representative examples where the proposed model is utilised to track the locations of sources in space with a very high accuracy

Methodology for identifying and modeling the key logistics processes in agri-food supply chain

The main objective of this paper is the design of a systematic methodology for the identification and modeling of key logistics processes in the Agrifood Supply Chain. These processes include both inbound and supply chain - wide logistics activities and have a critical effect on the operational performance of an agrifood business entity. The proposed methodology should enable a company to: 1) Recognize its key logistics processes, 2) Prioritize them based on specific critical success factors, 3) Develop generic models by creating a number of UML diagrams and finally 4) Document them by the use of a pre-defined template. This methodology will act as a customized and easy-to-use tool for agrifood companies enabling them to design and apply an adequate number of standardized business processes based on their special needs

The impact of sensor positioning on the array manifold

Published versio

Target Tracking with a Flexible UAV Cluster Array

Unmanned aerial vehicle (UAV) cluster applications, for tasks such as target localisation and tracking, are required to collect and utilise the data received on “flexible” sensor arrays, where the sensors, i.e. UAVs in this scenario, have time-variant positions. In this paper, using a parametric channel model, a UAV cluster mobility model and a kinematic model of the targets, an extended Kalman based state space model is proposed that tracks the unknown UAV positions and target parameters snapshot by snapshot. Simulation studies illustrating the tracking capabilities of the proposed technique have been presented

Super-resolution broad null beamforming for cochannel interference cancellation in mobile radio networks

Published versio

A polynomial rooting approach to super-resolution array design

Published versio