Wavelet transform techniques for time varying propagation and scattering characterization

Author

Sibul, Leon H. ; Roan, Michael J. ; Hillsley, Kenneth L.

Author_Institution

Appl. Res. Lab., Pennsylvania State Univ., University Park, PA, USA

Volume

2

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

1644

Abstract

It is shown that linear time varying (LTV) propagation and scattering channels are efficiently characterized by wideband spreading functions that can be estimated using continuous wavelet transforms (CWT). We show that the CWT domain characterization of LTV propagation channels leads naturally to a wavelet domain implementation of maximum likelihood detectors of multi-highlight objects whose echos are distributed in range and time-scale.

Keywords

electromagnetic wave scattering; maximum likelihood detection; radiowave propagation; signal representation; time-varying channels; wavelet transforms; CWT domain characterization; continuous wavelet transforms; linear time varying propagation channels; linear time varying scattering channels; maximum likelihood detectors; multi-highlight objects; time-scale representation; wideband spreading functions; Continuous wavelet transforms; Doppler shift; Maximum likelihood detection; Mobile communication; Propagation delay; Radar scattering; Transmitters; Wavelet domain; Wavelet transforms; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.751604

Filename

751604