Compressive array processing

In this project, we provide an approximation framework for distributed target localization in sensor networks. We can successfully determine multiple target locations by using linear dimensionality-reducing projections of sensor measurements. The overall communication bandwidth requirement per sensor is logarithmic in the number of grid points and linear in the number of targets, ameliorating the communication requirements. The approach can also sources hidden in ultra-wideband spectra due to the compressive sampling mechanism at the sensors.

Authors: Volkan Cevher

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