The MathNet Korea
Information Center for Mathematical Science

PAC

Information Center for Mathematical Science

PAC

A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition
Author Emmanuel Candes (Stanford University)
Homepage Url http://www-stat.stanford.edu/~candes/publications.html
Coauthors Juhwan Yoo, Christopher Turnes, Eric Nakamura, Chi Le, Stephen Becker, Emilio Sovero, Michael Wakin, Michael Grant, Justin Romberg, Azita Emami-Neyestanak
Abstract In this paper we present a complete (hardware/ software) sub-Nyquist rate (13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 MHz–2:5 GHz with the equivalent of 8 ENOB digitizing performance. The approach is based on the alternative sensing-paradigm of Compressed- Sensing (CS). The hardware platform features a fully-integrated CS receiver architecture named the random-modulation preintegrator (RMPI) fabricated in Northrop Grumman’s 450 nm InP HBT bipolar technology. The software back-end consists of a novel CS parameter recovery algorithm which extracts information about the signal without performing full timedomain signal reconstruction. This approach significantly reduces the computational overhead involved in retrieving desired information which demonstrates an avenue toward employing CS techniques in power-constrained real-time applications. The developed techniques are validated on CS samples physically measured by the fabricated RMPI and measurement results are presented. The parameter estimation algorithms are described in detail and a complete description of the physical hardware is given.
Abstract Url http://inside.mines.edu/~mwakin/papers/RMPI_20120630.pdf