NDLI: A Comparison of Stationary and Cyclostationary TDOA Estimators

Content Provider	IEEE Xplore Digital Library
Author	Gisselquist, D.E.
Copyright Year	2006
Description	Author affiliation: Nat. Security Agency, Fort Meade, MD (Gisselquist, D.E.)
Abstract	The classical technique for measuring the time-difference of arrival (TDOA) of a signal between two sensors has always been a filtered cross correlation. Recent papers, however, have suggested that cyclostationary correlation methods may achieve a much better TDOA estimate in the presence of strong interference for signals that are not truly stationary-such as digital communications signals. Of these, single-cycle cyclostationary methods, such as Gardner's spectral coherence alignment (SPECCOA) algorithm, have been highlighted as robust methods of measuring the TDOA of a signal of interest regardless of the interference present in the environment. No clear comparison has been presented showing the relative benefits of cyclostationary TDOA methods over classical stationary methods and in particular over optimal stationary methods. This paper compares the best of these two classes of TDOA estimators together to determine their relative merits in a narrowband noise environment. This comparison reveals that single-cycle methods perform much worse than their traditional filtered correlation counterparts, while the full multicycle methods can achieve up to 40% lower mean square error than their stationary counterparts
Starting Page	1
Ending Page	7
File Size	208063
Page Count	7
File Format	PDF
ISBN	142440617X
DOI	10.1109/MILCOM.2006.302105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Filters Working environment noise Signal processing Correlation Digital communication Narrowband Transmitters National security Coherence
Content Type	Text
Resource Type	Article

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