A wideband compressive radio receiver

M. A. Davenport, S. R. Schnelle, J. P. Slavinsky, R. G. Baraniuk, M. B. Wakin, P. T. Boufounos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Scopus citations


Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for the acquisition of sparse or compressible signals. Instead of taking periodic samples, CS measures inner products with M random vectors, whereM is much smaller than the number of Nyquist-rate samples. The implications of CS are promising for many applications and enable the design of new kinds of analog-to-digital converters, imaging systems, and sensor networks. In this paper, we propose and study a wideband compressive radio receiver (WCRR) architecture that can efficiently acquire and track FM and other narrowband signals that live within a wide frequency bandwidth. The receiver operates below the Nyquist rate and has much lower complexity than either a traditional sampling system or CS recovery system. Our methods differ from most standard approaches to the problem of CS recovery in that we do not assume that the signals of interest are confined to a discrete set of frequencies, and we do not rely on traditional recovery methods such as ℓ1-minimization. Instead, we develop a simple detection system that identifies the support of the narrowband FM signals and then applies compressive filtering techniques based on discrete prolate spheroidal sequences to cancel interference and isolate the signals. Lastly, a compressive phase-locked loop (PLL) directly recovers the FM message signals.

Original languageEnglish (US)
Title of host publication2010 IEEE Military Communications Conference, MILCOM 2010
Number of pages6
StatePublished - Dec 1 2010
Event2010 IEEE Military Communications Conference, MILCOM 2010 - San Jose, CA, United States
Duration: Oct 31 2010Nov 3 2010


Other2010 IEEE Military Communications Conference, MILCOM 2010
Country/TerritoryUnited States
CitySan Jose, CA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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