Robust Decentralized Localization In Impulsive Noise

2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN)(2017)

Cited 0|Views14
No score
Abstract
This paper considers the problem of range-based decentralized localization in wireless sensor networks when the impulsive measurement noise is present. We develop a robust localization estimator requiring no a priori knowledge of the noise distribution. The approach to robust localization presented here follows the concept of M-estimation and is implemented in a decentralized manner thus suiting the dynamic nature of wireless networks. The performance of the proposed scheme is verified by simulations.
More
Translated text
Key words
decentralized localization,wireless sensor networks,impulsive measurement noise,robust localization estimator,noise distribution,M-estimation,wireless networks,impulsive noise
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined