A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition
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.
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.Additional details
- Eprint ID
- 34364
- DOI
- 10.1109/JETCAS.2012.2214634
- Resolver ID
- CaltechAUTHORS:20120925-144241305
- Defense Advanced Research Projects Agency (DARPA)
- FA8650-08-C-7853
- Air Force Research Laboratory
- Created
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2012-09-25Created from EPrint's datestamp field
- Updated
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2023-03-15Created from EPrint's last_modified field