Cooperative Estimation of Power and Direction of Transmission for a Directive Source
Sina Maleki, Philippe Ciblat, Symeon Chatzinotas, Bhavani Shankar M. R., Björn Ottersten · IEEE Transactions on Cognitive Communications and Networking · 2016
Reliable spectrum cartography of directive sources depends on an accurate estimation of the direction of transmission (DoT) as well as the transmission power. Joint estimation of power and DoT of a directive source using ML estimation techniques is considered in this paper. We further analyze the parametric identifiability conditions of the problem, develop the estimation algorithm, and derive the Cramer–Rao-Bound for the two situations: 1) where the source signal is known to the sensors and 2) where the sensors are not aware of the source signal but its distribution. Particularly, we devise a specific sensor placement/selection setup for the symmetric antenna patterned sources which leads to identifiability of the problem. Finally, numerical results verifies the efficiency and accuracy of the provided estimation algorithms in this paper.