On the performance of a novel nonlinear least squares frequency estimator


Dilaveroglu E.

IEEE-EURASIP Workshop on Nonlinear Signal and Image Prcessing (NSIP 99), Antalya, Turkey, 20 - 23 June 1999, pp.632-635 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.632-635

Abstract

A novel nonlinear least squares frequency estimation method which uses only a one-dimensional search routine has been recently proposed in [1]. In this paper, the variance of the estimator is analyzed at high signal-to-noise ratios. An analytical expression for the variance is derived. The dependence of the variance on the signal-to-noise ratio, the number of data partitions, the length of each partition and the frequency separation is investigated. Monte-Carlo simulation results are given to verify the analytical expression.