Digital Communication Techniques for Underwater Acoustic Channels

Distinguished Speaker

Speaker: John Proakis, Ph.D.

Adjunct Professor, University of California at San Diego 

Professor Emeritus, Northeastern University


Underwater acoustic channels are generally characterized as randomly

time-varying multipath channels. In this presentation, the

characteristics of these channels are described in terms of their

time-varying impulse response, time dispersion, frequency dispersion,

path loss and additive noise. Then, the design of

modulation/demodulation and coding/decoding techniques are considered,

including single carrier and multicarrier transmission, turbo

coding/decoding, and equalization for intersymbol interference. The

performance of these techniques are assessed from the viewpoint of

bandwidth efficiency and signal processing requirements.


John G. Proakis (S'58-M'62-F'84-LF'99) received the BSEE from the

University of Cincinnati in 1959, the MSEE from MIT in 1961 and the

Ph.D. from Harvard University in 1967. He is an Adjunct Professor at the

University of California at San Diego and a Professor Emeritus at

Northeastern University. He was a faculty member at Northeastern

University from 1969 through 1998 and held the following academic

positions: Associate Professor of Electrical Engineering, 1969-1976;

Professor of Electrical Engineering, 1976-1998; Associate Dean of the

College of Engineering and Director of the Graduate School of

Engineering, 1982-1984; Interim Dean of the College of Engineering,

1992-1993; Chairman of the Department of Electrical and Computer

Engineering, 1984-1997. Prior to joining Northeastern University, he

worked at GTE Laboratories and the MIT Lincoln Laboratory.

His professional experience and interests are in the general areas of

digital communications and digital signal processing. He is the

co-author of the following books: Digital Communications (New York:

McGraw-Hill, 2008, fifth edition), Introduction to Digital Signal

Processing (Upper Saddle River: Prentice Hall, 2007, fourth edition);

Digital Signal Processing Laboratory (Englewood Cliffs: Prentice Hall,

1991); Advanced Digital Signal Processing (New York: Macmillan, 1992);

Algorithms for Statistical Signal Processing(Upper Saddle River:

Prentice Hall, 2002);Discrete-Time Processing of Speech Signals (New

York: Macmillan, 1992, IEEE Press, 2000); Communication Systems

Engineering, (Upper Saddle River: Prentice Hall, 2002, second edition);

Digital Signal Processing Using MATLAB V.4 (Boston: Brooks/Cole-Thomson

Learning, 2007, second edition); Contemporary Communication Systems

Using MATLAB (Boston: Brooks/Cole-Thomson Learning, 2004, second

edition); Fundamentals of Communication Systems (Upper Saddle River:

Prentice Hall , 2005).