Amplitude-based spatial signal processing using high-order statistics. Part II

Author

Sharp, Daniel W. ; Kilgore, D. Roger

Author_Institution

Mitre Corp., McLean, VA, USA

fYear

1994

fDate

2-5 Oct 1994

Firstpage

267

Abstract

This paper continues the characterization and analysis of a spatial signal processing problem using only signal amplitude information. The results generalize the “signal separator” or “eigenvector sorting” algorithm used in some very low frequency (VLF) receiver systems by removing the requirement that the solution vectors be orthogonal. An algebraic characterization of the solution is formulated and used to facilitate a numerical search

Keywords

antenna arrays; array signal processing; eigenvalues and eigenfunctions; higher order statistics; loop antennas; algebraic characterization; amplitude-based spatial signal processing; antenna system; eigenvector sorting algorithm; high-order statistics; numerical search; orthogonal loops; signal amplitude information; signal analysis; signal separator; solution vectors; spatial signal processing problem; very low frequency receiver systems; Antennas and propagation; Covariance matrix; Directive antennas; Frequency; Signal processing; Signal processing algorithms; Statistical analysis; Statistics; Transmission line matrix methods; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1994. MILCOM '94. Conference Record, 1994 IEEE

Conference_Location

Fort Monmouth, NJ

Print_ISBN

0-7803-1828-5

Type

conf

DOI

10.1109/MILCOM.1994.473930

Filename

473930