Multisensor detection of improper signals in improper noise

Jitendra K. Tugnait

ICASSP 2017accepted0 citations

Multisensor detection of improper signals in improper noise

Abstract

This paper addresses the problem of detecting the presence of a complex-valued, possibly improper, but unknown signal, common among two or more sensors (channels) in the presence of spatially independent, unknown, possibly improper and colored, noise. Past work on this problem is limited to signals observed in proper noise. A source of improper noise is IQ imbalance during down-conversion of bandpass noise to baseband. A binary hypothesis testing approach is formulated and a generalized likelihood ratio test (GLRT) is derived using the power spectral density estimator of an augmented sequence. An analytical solution for calculating the test threshold is provided. The results are illustrated via simulations.

BibTeX

@inproceedings{icassp2017_multisensordetec,
  title = {Multisensor detection of improper signals in improper noise},
  author = {Jitendra K. Tugnait},
  booktitle = {ICASSP 2017},
  year = {2017}
}