Estimation of the parameters of a multipath channel using set-theoretic deconvolution

Author

Kostic, Zoran ; Sezan, M. Ibrahim ; Titlebaum, Edward L.

Author_Institution

Dept. of Electr. Eng., Rochester Univ., NY, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

1449

Abstract

A method for the estimation of the parameters of specular multipath communication channels is presented. The method takes advantage of the matched filtering, set-theoretic deconvolution and autoregressive modeling. Pulse compression waveforms such as chip and frequency-hop coding waveforms are used as channel problem signals. The proposed method, applied to a number of multipath channel models with closely spaced path components, produces high-resolution estimates of multipath parameters at signal-to-noise ratios higher than 5 dB

Keywords

parameter estimation; set theory; telecommunication channels; SNR; autoregressive modeling; channel problem signals; frequency-hop coding waveforms; high-resolution estimates; matched filtering; multipath channel models; multipath parameters; parameter estimation; pulse compression waveforms; set-theoretic deconvolution; signal-to-noise ratios; specular multipath communication channels; Autocorrelation; Chirp modulation; Communication channels; Deconvolution; Filtering; Matched filters; Multipath channels; Parameter estimation; Signal resolution; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150714

Filename

150714