Robust Spectrum-Based Comparison of Multivariate Complex Random Signals

Robust Spectrum-Based Comparison of Multivariate Complex Random Signals

We consider the problem of comparing two complex multivariate random signal realizations, possibly contaminated with additive outliers, to ascertain whether they have identical power spectral densities. For clean data (i.e., known to be outlier free), a binary hypothesis testing formulation in frequ...

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Bibliographic Details
Main Author: Jitendra K. Tugnait
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Generalized likelihood ratio test
hypothesis testing
multichannel signal detection
multiple antennas
spectral analysis
wireless user authentication
Online Access:https://ieeexplore.ieee.org/document/8611341/

Internet

https://ieeexplore.ieee.org/document/8611341/

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