Cart (Loading....) | Create Account
Close category search window
 

Maximum likelihood estimation of time delays in multipath acoustic channel - performance versus number of multipath and noise

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Bhardwaj, T.P. ; Dept. of Electr. Eng., Nat. Inst. of Technol., Hamirpur, India ; Nath, R.

In this paper, we present the performance of maximum likelihood (ML) estimator for number of multipath and SNR scenarios. Here the multipath acoustic channel output signal is modeled as a superposition of the delayed, attenuated, and filtered version of the stationary Gaussian stochastic input signal. Accuracy percentage (AP) performance measure has been used to characterize the performance of the estimator. The performance of the ML estimator is compared via computer simulation, using AP, with a generalized autocorrelation estimator (GAE) for different number of multipath and SNRs. Simulation results show that the performance of the ML estimator deteriorates as the number of multipath increase and/or SNR decreases, however its performance is superior to the GAE under the same circumstances.

Published in:

Signal Processing and Communication Systems (ICSPCS), 2010 4th International Conference on

Date of Conference:

13-15 Dec. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.