We propose the application of spherically invariant random processes for joint modeling of the fluctuations of the signal envelope and phase in narrowband wireless fading channels. In this model, the phase has a uniform distribution (which is very common in fading channels), while the envelope can be distributed according to an arbitrary distribution law (which includes Rayleigh as a special case). The great utility of the spherically invariant random processes, as a large family of non-Gaussian random processes, lies on their many Gaussian-like properties, which make them very flexible for multivariate statistical analysis, optimal estimation, simulation, and other signal processing issues. Empirical justifications are also given, which strongly support the acceptability of the model.
|Original language||English (US)|
|Title of host publication||CommunicationsSensor Array and Multichannel Signal Processing|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|State||Published - 2000|
|Event||25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey|
Duration: Jun 5 2000 → Jun 9 2000
|Name||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Other||25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000|
|Period||6/5/00 → 6/9/00|
Bibliographical noteFunding Information:
The work of the first and the third authors have been supported in part by the National Science Foundation, under the Wireless Initiative Program, Grant #9979443.
© 2000 IEEE.