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
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;
Conference_Titel :
Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-6507-0
DOI :
10.1109/VETECF.2000.886690
