A nonparametric phase estimation method for SIMO systems based on second-order and higher order statistics

Author

Mao, Zhen ; Ding, Zhi

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

Volume

47

Issue

3

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

843

Lastpage

847

Abstract

We present a nonparametric phase estimation algorithm for linear single-input multiple-output (SIMO) channels. Given an unknown stationary input signal with known statistics, our approach is to obtain the joint minimum mean square phase estimation based on the polyspectra and the cross-spectra of the SIMO channel outputs. By utilizing both higher order and second-order statistics of the channel outputs, our approach is shown to be more accurate and reliable than methods based on higher order statistics alone. It can be applied to SIMO channels with common zeros

Keywords

higher order statistics; identification; least mean squares methods; linear systems; nonparametric statistics; phase estimation; signal processing; spectral analysis; telecommunication channels; SIMO channel outputs; SIMO systems; common zero SIMO channels; cross-spectra; higher order statistics; joint minimum mean square phase estimation; linear single-input multiple-output channels; nonparametric phase estimation method; polyspectra; second-order statistics; unknown stationary input signal; Bandwidth; Higher order statistics; Kernel; Narrowband; Performance analysis; Phase estimation; Power engineering computing; Power measurement; Signal processing algorithms; Spectrogram;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.747789

Filename

747789