|Student Name:||Maj Jeremy Stringer|
|Thesis:||Development of a Resource Manager Framework for Adaptive Beamformer Selection with Application to an Electronic Support Receiver|
|Location:||Bldg 646 Rm 102|
|Date & Time:||10/08/2013 at 1300|
|Abstract:|| This dissertation proposes a new ES receiver framework capable of overcoming the limitations of traditional ES receivers. The proposed receiver framework is capable of forming multiple, independent, simultaneous adaptive digital beams toward multiple signals of interest in an electromagnetic environment. The main contribution of the research is the development, validation, and verification of a resource manager (RM) algorithm. The RM estimates a set of parameters that characterizes the electromagnetic environment and selects an adaptive digital beam forming DBF algorithm for implementation toward all each signal of interest (SOI) in the environment. Adaptive DBF algorithms are chosen by the RM based upon their signal to interference plus noise ratio (SINR) improvement ratio and their computational complexity. This research develops a look-up-table (LUT) of optimal adaptive DBF algorithms that are selected by the RM based upon the estimated environment parameters. LUT development includes an empirical study of adaptive DBF algorithm sensitivity to electromagnetic environment parameters that also inform design of the RM. The proposed receiver framework is demonstrated to correctly estimate the desired electromagnetic parameters and select an adaptive DBF from the LUT.