CFAR data fusion center with inhomogeneous receivers

CFAR Data Fusion Using Fuzzy Integration

This paper presents a new approach to Constant False Alarm Rate (CFAR) data fusion using Fuzzy Integration. The paper describes how any CFAR scheme may be implemented as part of a fuzzy data fusion scheme by choosing an appropriate membership function to represent the CFAR threshold. Once the threshold membership function of the Fuzzy Integrator has been set up, the false alarm rate of the sche...

Data Fusion Techniques for Multi-frequency Navigation Receivers

In this paper, a novel approach is presented to improve performance of a multi frequency Galileo receiver in urban environment. This study aims at developing fine tracking systems able to improve performances in a urban environment. In particular, two kinds of bi-frequency receivers are proposed: taking advantage of frequency diversity and data fusion methods both of them allow optimal performa...

Bayesian Forecasting of an Inhomogeneous Poisson Process with Applications to Call Center Data

A call center is a centralized hub where customer and other telephone calls are dealt with by an organization. In today’s economy, they have become the primary point of contact between customers and businesses. Accurate prediction of the call arrival rate is therefore indispensable for call center practitioners to staff their call center efficiently and cost effectively. This article proposes a...

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