Title :
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition
Author :
Yoo, Juhwan ; Turnes, Christopher ; Nakamura, Eric B. ; Le, Chi K. ; Becker, Stephen ; Sovero, Emilio A. ; Wakin, Michael B. ; Grant, Michael C. ; Romberg, Justin ; Emami-Neyestanak, Azita ; Candés, Emmanuel
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
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.
Keywords :
III-V semiconductors; compressed sensing; heterojunction bipolar transistors; indium compounds; integrating circuits; modulation; parameter estimation; radar signal processing; signal detection; CS parameter recovery algorithm; HBT bipolar technology; InP; compressed sensing parameter extraction platform; frequency 100 MHz to 2.5 GHz; fully-integrated CS receiver architecture; hardware platform; parameter estimation; radar pulse signal acquisition; random-modulation preintegrator; size 450 nm; software back-end; subNyquist rate wideband signal acquisition chain; Capacitors; Frequency estimation; Generators; Indium phosphide; Parameter estimation; Radar; Sensors; Compressed sensing (CS); indium-phosphide; parameter estimation; random-modulation pre-integration (RMPI);
Journal_Title :
Emerging and Selected Topics in Circuits and Systems, IEEE Journal on
DOI :
10.1109/JETCAS.2012.2214634