Modern Electronic Warfare Signal Processing Based on Analog-to-Information Conversion

DOI

10.2991/mmebc-16.2016.244How to use a DOI?

Keywords

Compressed sensing, measuring matrix, parallel method, low-speed ADCs sampling.

Abstract

Many problems in radar signal processing involve radio frequency (RF) signals of very high bandwidth. This presents a serious challenge to systems that might attempt to sample these signals by the Shannon/Nyquist sampling theorem. However, the information level of the signal is often far lower than the actual bandwidth, while the novel theory of compressive sensing enables the direct analog-to-information converter (AIC) of compressible signals at sub-Nyquist acquisition rates. In this paper we propose a system that uses a parallel bank of low-rate analog-to-digital converter (ADC) to produce a low-rate set of digital measurements. Our AIC is inspired by the recent theory of Compressive Sensing (CS). We generalize the CS theory to fit it into the continuous-time sparse signal backdrop, explain AIC system in the CS context, and discuss practical issues regarding implementation. Simulation shows that the architecture is particularly apropos for wideband signals that are sparse or nearly sparse in the time-frequency domain.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenzhe Wang
AU  - Hua Wu
AU  - Jiyuan He
PY  - 2016/06
DA  - 2016/06
TI  - Modern Electronic Warfare Signal Processing Based on Analog-to-Information Conversion
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1200
EP  - 1203
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.244
DO  - 10.2991/mmebc-16.2016.244
ID  - Wang2016/06
ER  -