Photo of John Doherty

John Doherty

Professor and Director of Graduate Studies

Affiliation(s):

  • School of Electrical Engineering and Computer Science
  • Electrical Engineering

227B Electrical Engineering West

jfd6@psu.edu

814-863-8102

Research Areas:

Communications, Information Theory, and Coding over Networked Systems; Signal and Image Processing

Interest Areas:

Communications: Wireless, Spread Spectrum, Sonar, Radar, Compression, Interference Suppression, Equalization; Signal Processing: Adaptive, Image, Speech, Biomedical, Echo Cancellation.

 
 

 

Education

  • Ph.D., Electrical and Computer Engineering, Rutgers University, 1990

Publications

Journal Articles

  • M. Liu and John F Doherty, 2011, "Nonlinearity Estimation for Specific Emitter Identification in Multipath Channels", IEEE Transactions on Information Forensics & Security, 6, (3), pp. 1076-1085
  • S. U. Pawar and John F Doherty, 2011, "Modulation Recognition in Continuous Phase Modulation using Approximate Entropy", IEEE Transactions on Information Forensics & Security, Special Issue on Using the Physical Layer for Securing the Next Generation of Communications Systems, 6, (3), pp. 843-852
  • A. Roy and John F Doherty, 2011, "Raised cosine filter-based empirical mode decomposition", IET Signal Processing, 5, (2), pp. 121-129
  • A. Roy and John F Doherty, 2011, "Overlay Communications using Empirical Mode Decomposition", IEEE Systems Journal, 5, (1), pp. 121-128
  • A. Roy and John F Doherty, 2010, "Covert Communications based on Signal Overlay", Advances in Adaptive Data Analysis, 2, (3), pp. 295-311
  • A. Roy and John F Doherty, 2010, "Improved signal analysis performance at low sampling rates using raised cosine empirical mode decomposition", Electronics Letters, 46, (2), pp. 176-177
  • M.-W. Liu and John F Doherty, 2009, "Frequency-Selective MIMO Channel Estimation with transmitter nonlinearities", IET Signal Processing (formerly IEE Proceedings), Special Issue on Advanced Signal Processing for Wireless and Mobile Communications, 3, (6), pp. 467-475
  • A. Roy, S. J. Briczinski, John F Doherty and J. D. Mathews, 2009, "Genetic algorithm based parameter estimation technique for fragmenting radar meteor head-echoes", IEEE Geoscience and Remote Sensing Letters, 6, (3), pp. 363-367
  • A. Roy, C.-H. Wen, John F Doherty and J. D. Mathews, 2008, "Signal feature extraction from microbarograph observations using Hilbert-Huang transform", IEEE Transactions on Geoscience and Remote Sensing, Data Fusion Special Issue, 46, (5), pp. 1442-1447
  • A. Roy, John F Doherty and J. D. Mathews, 2007, "Analyzing Radar Meteor Trail Echoes using the Fresnel Transform Technique - A Signal Processing Viewpoint", Earth, Moon, and Planets, 101, (1-2), pp. 27-39
  • C.-H. Wen, S. J. Briczinski, D. J. Linveh, John F Doherty and J. D. Mathews, 2007, "Pulse-level interference and meteor processing of Arecibo ISR data", Journal of Atmospheric and Solar-Terrestrial Physics, 69, (9), pp. 973-980
  • S. J. Briczinski, C.-H. Wen, J. D. Mathews, John F Doherty and Q. N. Zhoua, 2006, "Robust voltage fitting techniques for meteor Doppler speed determination", IEEE Transactions on Geoscience and Remote Sensing, 44, (12), pp. 3490-3495
  • W.-J. Huang and John F Doherty, 2005, "Traffic Models and Blocking Probabilities for Two-fold and Three-fold SDMA Communication Systems", Wireless Personal Communications, 34, (3), pp. 279-306
  • C.-H. Wen, John F Doherty, J. D. Mathews and D. Janches, 2005, "Meteor Detection and Non-periodic Bursty Interference Removal for Arecibo Data", Journal of Atmospheric and Solar-Terrestrial Physics, 67, (3), pp. 275-281

Conference Proceedings

  • Richard A. Metzger, John F Doherty and David M. Jenkins, 2016, "Using Approximate Entropy as a Speech Quality Measure for a Speaker Recognition System", pp. 6
  • Joonho Daniel Park and John F Doherty, 2014, "Feasibility of Low Probability of Intercept for Active Sonar Track Detection", National Defense Industrial Association Joint Undersea Warfare Technology Fall Conference, pp. 1
  • J. Daniel Park and John F Doherty, 2013, "A Track-Before-Detect Method with Motion Model", IEEE Underwater Acoustic Signal Processing Workshop
  • A. Roy and John F Doherty, 2011, "Weak signal sensing using empirical mode decomposition and stochastic data reordering", IEEE Military Communications Conference, pp. 37-41
  • A. Roy and John F Doherty, 2010, "Partial band jamming excision in WCDMA using Raised Cosine Empirical Mode Decomposition", Proc. Wireless @ Virginia Tech 2010 Symposium and Summer School, pp. 101-106
  • M.-W. Liu and John F Doherty, 2010, "Joint Specific Emitter Identification and Location Tracking for OFDM Systems", Proc. Wireless @ Virginia Tech 2010 Symposium and Summer School, pp. 107-114
  • J. D. Park, D. J. Miller, John F Doherty and S. C. Thompson, 2010, "Feasibility of range estimation using Sonar LPI", Proc. 44th Annual Conference onInformation Sciences and Systems, pp. 1-6
  • Ming-Wei Liu and John F Doherty, 2009, "Wireless device identification in MIMO channels", 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 563-567
  • A. Roy and John F Doherty, 2009, "Raised cosine interpolation for empirical mode decomposition", 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 888-892
  • J. D. Park, D. J. Miller, John F Doherty and S. C. Thompson, 2009, "A study on the feasibility of low probability of intercept sonar", 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 284-289
  • Ming-Wei Liu and John F Doherty, 2009, "Nonlinearity estimation for Specific Emitter Identification in multipath environment", Sarnoff Symposium, SARNOFF '09, IEEE, pp. 1-5
  • A. Roy and John F Doherty, 2009, "Covert communications using empirical mode decomposition", Sarnoff Symposium, SARNOFF '09, IEEE, pp. 1-5
  • M.-W. Liu and John F Doherty, 2008, "Specific Emitter Identification using Nonlinear Device Estimation", Sarnoff Symposium, pp. 1-5
  • A. Roy and John F Doherty, 2008, "Receiver design for turbo codes used in an impulsive noise environment", Sarnoff Symposium, 2008 IEEE, pp. 1-5
  • A. Roy and John F Doherty, 2008, "Empirical mode decomposition frequency resolution improvement using the pre-emphasis and de-emphasis method", 42nd Annual Conference on Information Sciences and Systems, CISS 2008, pp. 453-457
  • A. Roy and John F Doherty, 2007, "Signal Detection in an Impulsive Noise Environment Using Locally Optimum Detection", IEEE Vehicular Technology Conference, pp. 1022-1026
  • A. Roy and John F Doherty, 2006, "Robust Interference Suppression in Spread Spectrum Systems using Locally Optimum Detection", IEEE Military Communications Conference, pp. 1449-1453
  • A. Roy and John F Doherty, 2006, "Autoregressive Interference Suppression in Spread Spectrum Systems using Locally Optimum Detection", 40th Annual Conference on Information Sciences and Systems, pp. 447-451
  • A. Roy and John F Doherty, 2005, "Locally Optimum Detection Performance Analysis for Narrowband Interference Rejection in Spread Spectrum Communications", IEEE Global Communications Conference, pp. T01.3-3-1 -- T01.3-3-5
  • A. Roy and John F Doherty, 2005, "Autoregressive Narrowband Interference Rejection Performance In Spread Spectrum Communications Using Locally Optimum Detection", IEEE Military Communications Conference, pp. T.1300.1 -- T.1300-5

Manuscripts

  • Joonho Daniel Park and John F Doherty, 2018, "A Steganographic Approach to Sonar Target Tracking", IEEE Journal of Oceanic Egnineering, pp. 15

Other

  • A. Roy* and John F Doherty, 2012, "Nyquist pulse based Empirical Mode Decomposition and its Applications to Remote Sensing Problems"
  • John F Doherty, 2010, "Channel Equalization as a Regularized Inverse Problem"
  • C.-H. Wen, John F Doherty and J. D. Mathews, 2005, "A Report on Current Research Regarding the Meteor Trail Echo and Hyper-Speed Meteor Events Using the Arecibo 430 MHz Radar"
  • A. Roy, John F Doherty and J. D. Mathews, 2005, "Reconstructing classical meteor trail echoes: a post-modern view"

Research Projects

Honors and Awards

Service

Service to Penn State:

Service to External Organizations:

 


 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

207 Electrical Engineering West

University Park, PA 16802

814-863-6740

Department of Computer Science and Engineering

814-865-9505

Department of Electrical Engineering

814-865-7667