Optimizing the Information- Theoretic Partitioning of Simultaneous Transmit and Receive Phased Arrays
Document Type
Conference Proceeding
Publication Date
1-1-2018
Abstract
© 2018 IEEE. Phased array technology has progressed towards fully digital architectures over recent years. This has significantly increased the agility of phased arrays, which in turn has created a need to determine how to optimally configure these arrays for dynamic missions. Previous work on assigning signals to antennas in phased arrays has focused on minimizing measures of the sidelobes in the beam patterns produced by thinning or interleaving the array using genetic algorithms (GAs). This work explores a novel application of the GA to optimize the resolution of a narrowband imaging array with respect to the transmit/receive antenna partition when considering self-interference in a simultaneous-transmit-and-receive operation. The results demonstrate the GA's effectiveness at finding optimal or near-optimal array partitions without exhaustively exploring the impractically large search space.
Publication Title
2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
Recommended Citation
Cummings, I.,
Schulz, T.,
Havens, T.,
&
Doane, J.
(2018).
Optimizing the Information- Theoretic Partitioning of Simultaneous Transmit and Receive Phased Arrays.
2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings, 565-566.
http://doi.org/10.1109/APUSNCURSINRSM.2018.8609173
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10337