受非稳态重尾噪声影响的多态多传感器系统的事件触发分布式融合

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-10-25 DOI:10.1109/JSEN.2024.3484162

Xinyue Cao;Ling Zhao;Hongjiu Yang;Li Li

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引用次数: 0

摘要

本文针对具有丢包和非稳态重尾噪声的非均匀多速率多传感器系统开发了事件触发分布式融合。设计了一种同步方法，通过将非均匀多速率多传感器系统转换为单速率多传感器系统来促进估算。考虑到动态事件触发机制、非稳态重尾噪声和数据包丢失，提出了一种事件触发局部估计器，以获得局部估计值。还提出了一种事件触发分布式融合算法，可在降低计算复杂度的情况下进行精确的融合估计。仿真结果表明了事件触发分布式融合在单目标跟踪系统中的可用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Event-Triggered Distributed Fusion for Multirate Multisensor Systems Subject to Nonstationary Heavy-Tailed Noises

In this article, event-triggered distributed fusion is developed for a nonuniform multirate multisensor system with packets dropout and nonstationary heavy-tailed noises. A synchronization method is designed to facilitate estimation by transforming the nonuniform multirate multisensor system into a single-rate multisensor system. An event-triggered local estimator is proposed to obtain local estimates considering a dynamic event-triggered mechanism, nonstationary heavy-tailed noises, and packets dropout. An event-triggered distributed fusion algorithm is presented for accurate fusion estimation under reducing computational complexity. Simulation results are given to show the availability of the event-triggered distributed fusion using a single-target tracking system.

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice