A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition

作者：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; Candes Emmanuel

来源：IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2012, 2(3): 626-638.

DOI：10.1109/JETCAS.2012.2214634

• Compressed sensing (CS)
• indium-phosphide
• parameter estimation
• random-modulation pre integration (RMPI)

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%26apos;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.

• 出版日期2012-9