Accurate noise estimates in multicarrier systems

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.