An Interpolation Scheme for Constructing Radio Frequency Maps from Spatial Samples

The development of spectrum measurement infrastructure that can produce real-time geographic maps of spectrum usage is important to the deployment of future wireless systems. Such an infrastructure also provides the basis for creating a spectrum database in support of dynamic spectrum access. We are developing algorithms that can aggregate, classify and geographically map collected RF power measurements so as to support the formation of the spectrum database. A fundamental building block to creating this database is using a collection of spectrum measurements to infer the expected power levels at locations where there was no measurement infrastructure. This project is currently developing a pathloss-based interpolation scheme that can accurately estimate the power levels at locations bounded by four spectrum sensors deployed in a rectangular pattern.