Abstract: An RF tag system, comprising an RF reader configured to issue a plurality of different RF commands and to provide a continuous RF illumination field, and a plurality of RF tags respectively including a permanent identification; wherein the plurality of RF tags are configured to respond to a certain RF command from the RF reader by transmitting their respective identifications by way of backscatter modulation of the RF illumination field, and wherein the RF tags are further configured to perform the responding by way of respective independently selected random radio frequencies and timeslots from respective pre-defined ranges of radio frequencies and timeslots.

Abstract: An intelligent microsensor module (10, 100, 210, 300, 355, 410) is provided that can fuse data streams from a variety of sources and then locally determine the current state of the environment in which the intelligent microsensor is placed. The resultant state rather than raw data is communicated to the outside world when the microsensor is queried. The intelligent microsensor module (10, 100, 210, 300, 355, 410) of the present invention can locally determine and execute an action to be taken based on the determined state of the environment. The module (10, 100, 210, 300, 355, 410) can be readily reconfigured for multiple applications.

Abstract: An RF tag system, comprising an RF reader configured to issue a plurality of different RF commands and to provide a continuous RF illumination field, and a plurality of RF tags respectively including a permanent identification; wherein the plurality of RF tags are configured to respond to a certain RF command from the RF reader by transmitting their respective identifications by way of backscatter modulation of the RF illumination field, and wherein the RF tags are further configured to perform the responding by way of respective independently selected random radio frequencies and timeslots from respective pre-defined ranges of radio frequencies and timeslots.

Abstract: Sequential detection networks are provided that do not rely on statistical models for the source statistics such as source conditional density functions. Further, the present invention provides sequential detection networks that are adaptive to on-line changes in the source statistics and are thus applicable to the analysis of dynamic problems including those with complex density functions. The present invention also provides sequential detection networks that can automatically make a decision to either accept a next data sample or make a classification decision based upon cost determinations. Still further, the present invention provides sequential detection networks that can automatically make decisions on the order of sampling from a given set of data streams.

Abstract: An intelligent microsensor module (10, 100, 210, 300, 355, 410) is provided that can fuse data streams from a variety of sources and then locally determine the current state of the environment in which the intelligent microsensor is placed. The resultant state rather than raw data is communicated to the outside world when the microsensor is queried. The intelligent microsensor module (10, 100, 210, 300, 355, 410) of the present invention can locally determine and execute an action to be taken based on the determined state of the environment. The module (10, 100, 210, 300, 355, 410) can be readily reconfigured for multiple applications.

Abstract: The invented apparatus fuses two or more sensor signals to generate a fused signal with an improved confidence of target existence and position. The invented apparatus includes gain, control and fusion units, and can also include an integration unit. The integration unit receives signals generated by two or more sensors, and generates integrated signals based on the sensor signals. The integration unit performs temporal and weighted spatial integration of the sensor signals, to generate respective sets of integrated signals supplied to the gain control and fusion units. The gain control unit uses a preprogrammed function to map the integrated signals to an output signal that is scaled to generate a gain signal supplied to the fusion unit. The fusion unit uses a preprogrammed function to map its received integrated signals and the gain signal, to a fused signal that is the output of the invented apparatus.