Blind estimator for time delays in multipath acoustic channel-estimator performance vs. noise and number of multipath
by Ravinder Nath, Ajit Kumar Chaturvedi, Govind Sharma
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 4, No. 1, 2011

Abstract: A Modified Blind Estimator (Modified Autocorrelation-based Estimator – MAE) algorithm is presented for estimation of time delays in multipath acoustic channel in the presence of uncorrelated noise. Here, the multipath acoustic channel output signal is modelled as a superposition of the delayed, attenuated and filtered versions of the stationary Gaussian stochastic input signal. Different performance measures have been introduced to characterise the performance of the estimator. The simulation results show that MAE performance approaches the equivalent Cramer-Rao Lower Bound (CRLB) in terms of Accuracy Percentage (AP) measures, AP_CRLB, in the high Signal to Noise Ratio (SNR) ranges. Furthermore, it is observed from simulations that when the SNR increases or the number of paths decreases the performance of MAE improves.

Online publication date: Fri, 13-Mar-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Signal and Imaging Systems Engineering (IJSISE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com