Parafac methods for blind beamforming: multilinear ALS performance and CRB

Author

Liu, Xiangqian ; Sidiropoulos, Nicholas D.

Author_Institution

Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

5

fYear

2000

fDate

2000

Firstpage

3128

Abstract

Low-rank trilinear and quadrilinear decomposition is shown to underlie the basic model for deterministic blind beamforming (DBB) in the presence of incoherent multipath with small delay spread. Quadrilinear regression is proposed for simultaneously estimating all model parameters and compared to the column span method of van der Veen (1998). A derivation and discussion of pertinent Cramer-Rao bounds for the trilinear model, and comparison of trilinear regression performance to the CRB are also included. These are of interest beyond the application scope of this paper

Keywords

antenna theory; array signal processing; least squares approximations; linear antenna arrays; multipath channels; parameter estimation; receiving antennas; statistical analysis; CRB; Cramer-Rao bounds; DBB; alternating least squares; deterministic blind beamforming; incoherent multipath; low-rank trilinear decomposition; model parameters; multilinear ALS performance; parafac methods; parallel factor analysis; quadrilinear decomposition; quadrilinear regression; small delay spread; trilinear model; trilinear regression performance; Array signal processing; Delay; Ear; Matrices; Parameter estimation; Pulse shaping methods; Radar; Receiving antennas; Sensor arrays; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861200

Filename

861200