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A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition

delete2012-09-01
delete75
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OA
AI
J
Juhwan Yoo *
C
Christopher K. Turnes
E
Eric Nakamura
C
Chi K. Le
S
Stephen Becker
E
E.A. Sovero
M
Michael B. Wakin
M
Michael C. Grant
J
Justin Romberg
A
Azita Emami
E
Emmanuel J. Candès
DOI:10.1109/JETCAS.2012.2214634delete
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Abstract

Abstract

En 中文
In this paper we present a complete (hardware/ software) sub-Nyquist rate (x 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 effective number of bits (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 time-domain 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.
Keywords:
Compressed sensing (CS)
indium-phosphide
parameter estimation
random-modulation pre integration (RMPI)

Journal

IEEE Journal on Emerging and Selected Topics in Circuits and Systems cover
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
IF:
3.8
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1.4K
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2.8K

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Colorado School of Mines
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Georgia Institute of Technology
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California Institute of Technology
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northrop grumman corporation
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university system of georgia
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Sorbonne Universite
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