Multipath delay estimation using a superresolution PN-correlation method

Author

Bouchereau, Frantz ; Brady, David ; Lanzl, Colin

Author_Institution

Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

Volume

49

Issue

5

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

938

Lastpage

949

Abstract

This paper addresses the problem of high-resolution estimation of a multipath channel delay profile. We propose several improvements to the so-called superresolution pseudo-noise sequence correlation method (SPM) and analyze its performance on time-varying channels. SPM is based on the multiple signal classification (MUSIC) algorithm, which requires decorrelation of the multipath echoes. The proposed improvements enable SPM-based delay estimation in the presence of narrowband interference, and they reduce the necessary transmission window while preserving multipath echo decorrelation. These improvements are analyzed and are applied to underwater acoustic experimental data

Keywords

acoustic signal processing; decorrelation; delay estimation; interference suppression; m-sequences; multipath channels; pseudonoise codes; radiofrequency interference; signal classification; signal resolution; smoothing methods; time-varying channels; underwater acoustic propagation; MUSIC algorithm; RFI; frequency smoothing; high-resolution estimation; interference suppression; m-sequence transmission; multipath channel delay profile; multipath delay estimation; multipath echo decorrelation; multiple signal classification algorithm; narrowband interference; pseudo-noise sequence correlation method; superresolution PN-correlation method; time-varying channels; underwater acoustic experimental data; Classification algorithms; Correlation; Decorrelation; Delay estimation; Multipath channels; Multiple signal classification; Performance analysis; Scanning probe microscopy; Signal resolution; Time-varying channels;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.917798

Filename

917798