Signal space dimension reduction for AWGN channels with application to CPM

Author

Moqvist, Pär ; Aulin, Tor M.

Author_Institution

Ericsson Mobile Data Desgin AB, Goteborg, Sweden

fYear

2001

fDate

2001

Firstpage

280

Abstract

Using signal energy criteria, the best lower-dimensional representation of a signal set is given by its principal components (PC). A comparison with a previous method by Huber and Liu (1989) shows that the differences are small. However, the minimum distance loss in CPM is generally larger with the PC method; thus it is mainly of theoretical interest. Still, it provides an alternative to Gram-Schmidt approaches, e.g. in simulations

Keywords

AWGN channels; continuous phase modulation; principal component analysis; signal representation; AWGN channels; CPM; lower-dimensional representation; minimum distance loss; principal components; signal energy criteria; signal space dimension reduction; AWGN channels; Continuous phase modulation; Eigenvalues and eigenfunctions; Energy loss; Frequency; Matrix decomposition; Power engineering and energy; Proposals; Psychology; Signal design;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-7123-2

Type

conf

DOI

10.1109/ISIT.2001.936143

Filename

936143

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3278711