Information-theoretic optimization of full-duplex communication between digital phased arrays

Authors

Ian Thomas Cummings, Michigan Technological UniversityFollow
Timothy J. Schulz, Michigan Technological UniversityFollow
Jonathan Doane, MIT Lincoln Laboratory
Seyed A. Zekavat, Michigan Technological UniversityFollow
Timothy C. Havens, Michigan Technological UniversityFollow

Document Type

Conference Proceeding

Publication Date

2-7-2019

Department

Department of Electrical and Computer Engineering

Abstract

This paper poses full-duplex phase shift keyed communication between two digital phased arrays as an estimation problem and outlines an approach to minimizing the symbol phase estimation error. We develop an information-theoretic bound on the estimation error and a related feasible optimization objective function for the communications link in terms of the transmit and receive beamformers. We also apply a genetic algorithm to search for a transmit/receive aperture partitioning that minimizes the estimation error bound.

Publisher's Statement

©2018 IEEE. Publisher’s version of record: https://doi.org/10.1109/ALLERTON.2018.8635860

Publication Title

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Recommended Citation

Cummings, I. T., Schulz, T. J., Doane, J., Zekavat, S. A., & Havens, T. C. (2019). Information-theoretic optimization of full-duplex communication between digital phased arrays. 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 373-377. http://doi.org/10.1109/ALLERTON.2018.8635860
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/170