A Novel Classifier for Digital Angle Modulated Signals

Venkata Krishna Rao M

A Novel Classifier for Digital Angle Modulated Signals

Venkata Krishna Rao M * §

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§ Vidya Jyothi Institute of Technology, Hyderabad , India

A Novel Classifier for Digital Angle Modulated Signals

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Abstract

The identification of the modulation type of an arbitrary noisy signal is necessary in various applications including signal confirmation, interference identification, spectrum management, electronic support systems in warfare, electronic counter-counter measures etc. In this paper a novel classification scheme based on the variance of instantaneous frequency is proposed to discriminate between noisy M-ary Phase Shift Keyed (MPSK) and M-ary Frequency Shift Keyed (MFSK) signals. In the proposed method, the received signal is passed through a pair of band pass filters and the ratio of variances of instantaneous frequency of the filter outputs is used as a decision statistic. Analytic expressions are developed for the decision statistic. These expressions show that a high degree of discrimination is possible between PSK and FSK signals even at a carrier-to-noise ratio (CNR) of 0 dB. Simulation studies have been carried out and the theoretical predictions are validated.

References

16 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Venkata Krishna Rao M. 2015. "A Novel Classifier for Digital Angle Modulated Signals". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H3).

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GJCST Volume 15 Issue H3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-H Classification H.5.5

C.2.1

Submission ReceivedDecember 6, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published August 27, 2015

Version of record

v1.2

Issue date

August 27, 2015

Language

English

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Venkata Krishna Rao M (PhD/Dr. count: 0)

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