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

Authors:
Seongkeun Park;Jae Pil Hwang;Euntai Kim
Affiliations:
School of Electrical and Electronic Engineering, Yonsei University, C613, Sinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea;School of Electrical and Electronic Engineering, Yonsei University, C613, Sinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea;School of Electrical and Electronic Engineering, Yonsei University, C613, Sinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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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.