Feasibility assessment of location-unaware sensing for estimation of non-bandlimited measurements

Estimation of signal’s spatial variation using sensors typically requires knowledge of the locations at which measurements are available for accurate interpolation and reconstruction of the signal being measured. The overhead of a GPS module or other tags for location awareness has become the norm, and systems thus designed must have adequate cost and power budget to service the GPS modules and cannot be installed in GPS blind spots. In this paper, we present an application of a novel estimation technique for reconstruction of bandlimited signals that requires no knowledge of the locations at which the measurements are recorded. The paper provides a brief introduction to the technique and estimation of a synthetic spatial temperature field and a non-bandlimited Reference Signal Received Power (RSRP) signal for a 4G cellular network.