Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

1 Introduction

DOI: 10.1201/9781003461623-1

Following the tremendous advancement in information sensing, acquisition and processing technology, the last few decades have seen an unprecedented research interest towards multi-sensor filtering fusion (MSFF). The main objective of MSFF is to properly integrate data from all available sensors in order to achieve the optimal state estimation. Compared to the single sensor filtering, MSFF is capable of producing better estimation performance due to its abundant information sources, holistic target perception and strong fault tolerance. In this respect, MSFE has captured vast research attention with broad applications in a wide variety of fields including cyber-attack detection [1–3], fault detection ...