Sparse covariance-based high resolution time delay estimation for spread spectrum signals

A new approach to time delay estimation for spread spectrum signals which is based on a covariance-based fitting criterion is introduced. Since the conventional correlation method cannot resolve the spread spectrum signals that are separated less than a pseudo-noise chip apart, a further process may...

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Bibliographic Details
Published in:Electronics letters 2015-01, Vol.51 (2), p.155-157
Main Authors: Park, H.R, Li, J
Format: Article
Language:English
Subjects:
Algorithms
Chips
Correlation
correlation method
correlation methods
covariance analysis
Criteria
delay estimation
direction‐of‐arrival estimation
Fittings
High resolution
Information and communications
pseudo‐noise chip
resolution capability
Signal processing
signal resolution
sparse covariance‐based high resolution time delay estimation
spread spectrum communication
spread spectrum signals
Time delay
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Summary:A new approach to time delay estimation for spread spectrum signals which is based on a covariance-based fitting criterion is introduced. Since the conventional correlation method cannot resolve the spread spectrum signals that are separated less than a pseudo-noise chip apart, a further process may be necessary for correlation outputs to increase the resolution capability. To this end, a sparse covariance-based estimation algorithm that was originally proposed for direction-of-arrival estimation is adopted and its superiority is verified, especially in correlated signal environments.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2014.4130