Abstract
This paper is concerned with a comparison of the performance characteristics of the signal-to-noise ratio (SNR) estimation techniques based on maximum likelihood, lower order moments, or higher order moments. This is based on a modified and more general bias gradient estimator. The uniform Cramer-Rao lower bound (UCRLB) is used to specify the achievable and unachievable regions in the bias gradient length-variance (/spl delta/ - /spl sigma/) trade-off plane. The UCRLB bound is also used as a benchmark for performance comparisons for biased SNR estimators. The identification of the best SNR estimator is facilitated through plotting the performance of various estimators on the same bias gradient-variance plane as obtained through Monte Carlo simulations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
