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A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition

Yoo, Juhwan and Turnes, Christopher and Nakamura, Eric B. and Le, Chi K. and Becker, Stephen and Sovero, Emilio A. and Wakin, Michael B. and Grant, Michael C. and Romberg, Justin and Emami-Neyestanak, Azita and Candès, Emmanuel (2012) A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2 (3). pp. 626-638. ISSN 2156-3357. http://resolver.caltech.edu/CaltechAUTHORS:20120925-144241305

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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 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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/JETCAS.2012.2214634DOIArticle
ORCID:
AuthorORCID
Emami-Neyestanak, Azita0000-0003-2608-9691
Candès, Emmanuel0000-0001-9234-924X
Additional Information:© 2012 IEEE. Manuscript received February 27, 2012; revised June 30, 2012; accepted July 31, 2012. Date of publication September 24, 2012; date of current version December 05, 2012. This work was supported by the DARPA/MTO Analog-to-Information Receiver Development Program under AFRL contract FA8650-08-C-7853. The views expressed in this paper are those of the authors and do not reflect the official policy or position of the Department of Defense or the U.S. Government. This is in accordance with DoDI 5230.29, January 8, 2009. Statement “A” (Approved for Public Release, Distribution Unlimited) [DISTAR case #18837]. The authors would like to thank Dr. D. Healy for his foresight, encouragement, and support of this endeavour.
Funders:
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Air Force Research LaboratoryFA8650-08-C-7853
Subject Keywords:Compressed sensing (CS), indium-phosphide, parameter estimation, random-modulation pre-integration (RMPI)
Record Number:CaltechAUTHORS:20120925-144241305
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20120925-144241305
Official Citation:J. Yoo et al., "A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition," in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 2, no. 3, pp. 626-638, Sept. 2012. doi: 10.1109/JETCAS.2012.2214634
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34364
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:25 Sep 2012 22:18
Last Modified:01 Feb 2019 17:12

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