Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
566428 | Signal Processing | 2014 | 5 Pages |
Abstract
Polynomial-phase signals have applications including radar, sonar, biology, and radio communication. Of practical importance is the estimation of the parameters of a polynomial phase signal from a sequence of noisy observations. Assuming that the noise is additive and Gaussian, the direct evaluation of the Cramér–Rao lower bound for this estimation problem involves evaluating the inverse of a matrix. Computing this inverse is numerically difficult for polynomial phase signals of large order. By making use of a family of orthogonal polynomials, we derive formulae for the Cramér–Rao bounds that are numerically stable and easy to compute.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Robby McKilliam, André Pollok,