Information-theoretic optimization of full-duplex communication between digital phased arrays
Department of Electrical and Computer Engineering
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.
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
Cummings, I. T.,
Schulz, T. J.,
Zekavat, S. A.,
Havens, T. C.
Information-theoretic optimization of full-duplex communication between digital phased arrays.
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 373-377.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/170
©2018 IEEE. Publisher’s version of record: https://doi.org/10.1109/ALLERTON.2018.8635860