A new state estimation method for chaotic signals: Map-particle filter method

Seongkeun Park; Jae Pil Hwang; Euntai Kim

doi:10.1016/j.eswa.2011.03.017

A new state estimation method for chaotic signals: Map-particle filter method

Seongkeun Park, Jae Pil Hwang, Euntai Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Over the past few decades, research has been conducted regarding the applicability of chaotic behavior in consumer and industrial applications, including secure communication. In this paper, we develop a new particle filter termed as MAP-particle filter and apply it to a secure communication. The proposed particle filter estimates not only the chaotic state but also the secure message, thereby improving the secure communication performance. A computer simulation is conducted to demonstrate the effectiveness of our proposed method.

Original language	English
Pages (from-to)	11442-11446
Number of pages	5
Journal	Expert Systems with Applications
Volume	38
Issue number	9
DOIs	https://doi.org/10.1016/j.eswa.2011.03.017
Publication status	Published - 2011 Sept

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (No. 2010-0012631 ).

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2011.03.017

Cite this

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abstract = "Over the past few decades, research has been conducted regarding the applicability of chaotic behavior in consumer and industrial applications, including secure communication. In this paper, we develop a new particle filter termed as MAP-particle filter and apply it to a secure communication. The proposed particle filter estimates not only the chaotic state but also the secure message, thereby improving the secure communication performance. A computer simulation is conducted to demonstrate the effectiveness of our proposed method.",

author = "Seongkeun Park and Hwang, {Jae Pil} and Euntai Kim",

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AB - Over the past few decades, research has been conducted regarding the applicability of chaotic behavior in consumer and industrial applications, including secure communication. In this paper, we develop a new particle filter termed as MAP-particle filter and apply it to a secure communication. The proposed particle filter estimates not only the chaotic state but also the secure message, thereby improving the secure communication performance. A computer simulation is conducted to demonstrate the effectiveness of our proposed method.

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A new state estimation method for chaotic signals: Map-particle filter method

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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