Signal-dependent error in specular multipath estimation

Author

Colclough, Douglas D. ; Titlebaum, Edward L.

Author_Institution

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

Volume

5

fYear

2004

fDate

17-21 May 2004

Abstract

The signal-dependent error for least squares specular multipath estimators is analyzed for active sensors. The error analysis also applies to other deconvolution techniques for multipath estimation such as projection onto convex sets (POCS) that uses the square error as a constraint. The results explain how the selection of the transmit signal affects the estimator performance. Example mean square error plots are provided for a linear frequency modulation (LFM) signal to demonstrate the results. Given the set of possible locations for multipath components, the optimum signal to minimize the square error can be selected using these results.

Keywords

deconvolution; error analysis; frequency modulation; least squares approximations; multipath channels; signal resolution; time-varying channels; POCS; active sensors; deconvolution techniques; error analysis; least squares specular multipath estimators; linear frequency modulation signal; mean square error plots; multipath components; projection onto convex sets; sensor resolution; signal-dependent error; specular multipath estimation; square error constraints; square error minimization; time-varying multipath environment; Chirp modulation; Computer errors; Deconvolution; Delay estimation; Error analysis; Least squares approximation; Narrowband; Sensor systems; Signal analysis; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1327102

Filename

1327102