Performance-driven resource management in layered sensing

Chun Yang, Ivan Kadar, Erik Blasch

Abstract: Layered sensing provides a hierarchical net centric architecture for universal situational awareness with global coverage and persistent surveillance. Sensors in the layered hierarchy provide spatial, temporal, spectral, and polarization diversity with different scales and resolutions over different time horizons. Cooperative management of netted sensors is a successful strategy to achieve targeting performance and overall measures of merit (MOM) goals. After a brief introduction to issues in layered sensors, a resource management strategy based on geometry information is described so as to enhance performance in target detection (minimum detectable Doppler) and tracking accuracy (geometric dilution of precision). Preliminary simulation results are presented to illustrate this geometric approach to layered sensing (GALS) concept.