NDLI: Nonparametric Spectral Estimation of Phase Noise in Modulated Signals Based on Complementary Autocorrelation

Content Provider	IEEE Xplore Digital Library
Author	Harada, K.
Copyright Year	1991
Abstract	A novel nonparametric spectral estimation technique for phase noise based on the complementary autocorrelation (CAC) is presented. Utilizing the fact that the CAC of phase noise is not zero, this technique offers a distinct advantage that the power spectrum of phase noise is estimated whereas that of other kinds of noise are suppressed as long as they are proper (second-order circularity). This property is most useful when estimating the phase noise spectrum directly from digitally-modulated signals because those signals are typically accompanied by various kinds of undesired noise that easily mask the phase noise of interest. A frequency-domain estimation method based on complementary spectrum is presented for practical computation of phase noise spectrum. For the method, a formula for the noise suppression factor is derived assuming the properness in noise. Furthermore, suppressibility analyses are conducted, which reveal that many of the noises associated with modulated signals are indeed proper, and can thus be suppressed. Numerical simulations demonstrate the method, and verify the noise suppression factor. It is believed that this technique is the first of its kind being able to extract phase noise spectrum while suppressing many other kinds of noise.
Sponsorship	IEEE Signal Processing Society
Starting Page	4479
Ending Page	4489
Page Count	11
File Size	2217431
File Format	PDF
ISSN	1053587X
Volume Number	62
Issue Number	17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phase noise Estimation Correlation OFDM Frequency-domain analysis complementary autocorrelation complementary spectrum circularity properness
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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