Detection and localization of events in imaging sensor nets

We consider an imaging sensor net, in which a stationary collector node employs imaging techniques for localization and data collection from sensor nodes without geolocation or inter-networking capabilities. Sensors that are near enough to an event of interest become active. We consider a dense sensor field, in which multiple sensors are activated by the same event. The collector scans the sensor field with a directional antenna. Active sensors which fall in the beam electronically reflect the collector´s beacon, thus creating a radar-like geometry. The collector processes the observations obtained in multiple beams to obtain maximum likelihood estimates of the locations of events of interest