An information-theoretic approach to partitioning simultaneous transmit and receive digital phased arrays
Department of Electrical and Computer Engineering, Center for Data Sciences
Dynamically reconfigurable digital phased array technology has become more common and advances in signal processing techniques have enabled digital self-interference cancellation sufficient for practical simultaneous transmit and receive applications. As systems implement these technologies, techniques for configuring arrays must be developed. In this work, we consider operating an array in an imaging mode and demonstrate the effectiveness of the Fisher Information of a point target's estimated cross-range position in determining the optimal partitioning of an array into transmit and receive elements. We demonstrate that the partitions formed by optimizing the Fisher Information metric perform better than those that consider other metrics.
2018 IEEE Radar Conference
Cummings, I. T.,
Schulz, T. J.,
Havens, T. C.
An information-theoretic approach to partitioning simultaneous transmit and receive digital phased arrays.
2018 IEEE Radar Conference.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/977