DocumentCode
2670406
Title
Accurate noise estimates in multicarrier systems
Author
Aldana, Carlos H. ; Salvekar, Atul A. ; Tallado, J. ; Cioffi, John
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
434
Abstract
Traditionally, noise power estimation has been done by either sending training signals or by not sending signal at all. In this paper two approaches are presented that do not use training signals. One uses the expectation maximization (EM) algorithm and approaches the maximum likelihood (ML) estimate using the received data, if given a good initial condition. The other uses a decision directed approach that provides an exact estimate of the noise power
Keywords
iterative methods; maximum likelihood estimation; noise; pulse amplitude modulation; quadrature amplitude modulation; EM algorithm; ML estimate; accurate noise estimates; decision directed approach; expectation maximization algorithm; maximum likelihood estimate; multicarrier systems; noise power estimation; Error correction; Frequency modulation; Gaussian noise; Iterative algorithms; Maximum likelihood estimation; OFDM; Partitioning algorithms; Probability density function; Signal to noise ratio; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
Conference_Location
Boston, MA
ISSN
1090-3038
Print_ISBN
0-7803-6507-0
Type
conf
DOI
10.1109/VETECF.2000.886690
Filename
886690
Link To Document