Title

Channel Estimation and Modeling for Wireless Underwater Acoustic Communications

Presenter Information

Jesse Cross

Department

Electrical and Computer Engineering

Major

Electrical Engineering

Research Advisor

Zheng, Y. Rosa

Advisor's Department

Electrical and Computer Engineering

Funding Source

National Science Foundation Grant ECCS-0846486; Office of Naval Research Grant N00014-07-1-0219

Abstract

Many channel estimation methods are based upon stochastic models. It has been well established that the envelope of the radio channel impulse response (CIR) probability distribution function is a Rayleigh distribution. This results from the Gaussian distributed real and imaginary components. However, the underwater acoustic CIR has not been well established. Since the underwater acoustic channel is more severe than radio frequency channels, a t location-scale based, rather than Gaussian based, model for the underwater acoustic CIR complex components is proposed. An acoustic channel impulse response is estimated from existing experimental data. Then, a t location-scale distribution is fitted to the Probability Distribution Function of the estimated channel impulse response. Lastly, the fitted t location-scale distribution is compared to a fitted Gaussian distribution. It will be shown the t location-scale distribution is a better choice than the Gaussian distribution by using the two sample Kolmogorov-Smirnov test.

Biography

Jesse Cross is a senior in the Electrical and Computer Engineering department. He is expecting to graduate in May of 2010.

Research Category

Engineering

Presentation Type

Oral Presentation

Document Type

Presentation

Location

Gasconade Room

Presentation Date

07 Apr 2010, 9:00 am - 9:30 am

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Apr 7th, 9:00 AM Apr 7th, 9:30 AM

Channel Estimation and Modeling for Wireless Underwater Acoustic Communications

Gasconade Room

Many channel estimation methods are based upon stochastic models. It has been well established that the envelope of the radio channel impulse response (CIR) probability distribution function is a Rayleigh distribution. This results from the Gaussian distributed real and imaginary components. However, the underwater acoustic CIR has not been well established. Since the underwater acoustic channel is more severe than radio frequency channels, a t location-scale based, rather than Gaussian based, model for the underwater acoustic CIR complex components is proposed. An acoustic channel impulse response is estimated from existing experimental data. Then, a t location-scale distribution is fitted to the Probability Distribution Function of the estimated channel impulse response. Lastly, the fitted t location-scale distribution is compared to a fitted Gaussian distribution. It will be shown the t location-scale distribution is a better choice than the Gaussian distribution by using the two sample Kolmogorov-Smirnov test.