Emitter Recognition using fuzzy inference system

S. A. Hassan; A. I. Bhatti; A. Latif

doi:10.1109/ICET.2005.1558881

Emitter Recognition using fuzzy inference system

S. A. Hassan^*, A. I. Bhatti, A. Latif

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Emitter Recognition is the problem of classifying the radar type from intercepted radar signals. This capability is crucial for classifying approaching enemy ships and aircrafts. The sensed parameters may vary from their actual or reported values because of man-made variations in the form of agility or staggering. Another cause of variation could be dispersion because of atmospheric effects and equipment noise. Associating the measured radar parameter set with a know sighting is a pattern recognition problem in multi-dimensional space. Various research authors have attacked the problem with various data association tools with different merits and de-merits. Most of them are marred by the massive computing power required and unrealistically large training data requirements. In this paper a simple but elegant technique is proposed to solve the above problem using well-established framework of Fuzzy Logic.

Original language	English
Title of host publication	Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Pages	204-208
Number of pages	5
DOIs	https://doi.org/10.1109/ICET.2005.1558881
State	Published - 2005
Externally published	Yes
Event	IEEE 2005 International Conference on Emerging Technologies, ICET 2005 - Islamabad, Pakistan Duration: 17 Sep 2005 → 18 Sep 2005

Publication series

Name	Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005
Volume	2005

Conference

Conference	IEEE 2005 International Conference on Emerging Technologies, ICET 2005
Country/Territory	Pakistan
City	Islamabad
Period	17/09/05 → 18/09/05

Keywords

Emitter recognition
Fuzzy inference system

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICET.2005.1558881

Cite this

Hassan, S. A., Bhatti, A. I., & Latif, A. (2005). Emitter Recognition using fuzzy inference system. In Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006 (pp. 204-208). Article 1558881 (Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005; Vol. 2005). https://doi.org/10.1109/ICET.2005.1558881

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title = "Emitter Recognition using fuzzy inference system",

abstract = "Emitter Recognition is the problem of classifying the radar type from intercepted radar signals. This capability is crucial for classifying approaching enemy ships and aircrafts. The sensed parameters may vary from their actual or reported values because of man-made variations in the form of agility or staggering. Another cause of variation could be dispersion because of atmospheric effects and equipment noise. Associating the measured radar parameter set with a know sighting is a pattern recognition problem in multi-dimensional space. Various research authors have attacked the problem with various data association tools with different merits and de-merits. Most of them are marred by the massive computing power required and unrealistically large training data requirements. In this paper a simple but elegant technique is proposed to solve the above problem using well-established framework of Fuzzy Logic.",

keywords = "Emitter recognition, Fuzzy inference system",

author = "Hassan, \{S. A.\} and Bhatti, \{A. I.\} and A. Latif",

year = "2005",

doi = "10.1109/ICET.2005.1558881",

language = "English",

isbn = "0780392477",

series = "Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005",

pages = "204--208",

booktitle = "Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006",

note = "IEEE 2005 International Conference on Emerging Technologies, ICET 2005 ; Conference date: 17-09-2005 Through 18-09-2005",

}

Hassan, SA, Bhatti, AI & Latif, A 2005, Emitter Recognition using fuzzy inference system. in Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006., 1558881, Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005, vol. 2005, pp. 204-208, IEEE 2005 International Conference on Emerging Technologies, ICET 2005, Islamabad, Pakistan, 17/09/05. https://doi.org/10.1109/ICET.2005.1558881

Emitter Recognition using fuzzy inference system. / Hassan, S. A.; Bhatti, A. I.; Latif, A.
Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006. 2005. p. 204-208 1558881 (Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hassan, S. A.

AU - Bhatti, A. I.

AU - Latif, A.

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N2 - Emitter Recognition is the problem of classifying the radar type from intercepted radar signals. This capability is crucial for classifying approaching enemy ships and aircrafts. The sensed parameters may vary from their actual or reported values because of man-made variations in the form of agility or staggering. Another cause of variation could be dispersion because of atmospheric effects and equipment noise. Associating the measured radar parameter set with a know sighting is a pattern recognition problem in multi-dimensional space. Various research authors have attacked the problem with various data association tools with different merits and de-merits. Most of them are marred by the massive computing power required and unrealistically large training data requirements. In this paper a simple but elegant technique is proposed to solve the above problem using well-established framework of Fuzzy Logic.

AB - Emitter Recognition is the problem of classifying the radar type from intercepted radar signals. This capability is crucial for classifying approaching enemy ships and aircrafts. The sensed parameters may vary from their actual or reported values because of man-made variations in the form of agility or staggering. Another cause of variation could be dispersion because of atmospheric effects and equipment noise. Associating the measured radar parameter set with a know sighting is a pattern recognition problem in multi-dimensional space. Various research authors have attacked the problem with various data association tools with different merits and de-merits. Most of them are marred by the massive computing power required and unrealistically large training data requirements. In this paper a simple but elegant technique is proposed to solve the above problem using well-established framework of Fuzzy Logic.

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M3 - Conference contribution

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Y2 - 17 September 2005 through 18 September 2005

ER -

Emitter Recognition using fuzzy inference system

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Keywords

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