Karampoulas, D.; Kouadri Mostéfaoui, S. M. and Dooley, L. S.
(2013).
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(Accepted Manuscript)
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Abstract
One of the main challenges of conventional spectrum estimation methods in cognitive radio applications is the very high sampling rates involved, which imposes significant operating demands upon the analog-to-digital converter (ADC). This has given impetus to employing compressive sensing (CS) techniques, such as the random demodulator (RD) structure to relax the input ADC specification. It has been recently shown the RD spectrum estimation performance for quadrature phased shift keying (PSK) modulated signals can be significantly improved in terms of spectral concentration and signal-to-noise ratio, when signals are precoloured by an autoregressive (AR) filter. This paper presents an extended AR-RD architecture, which provides enhanced CS capability for higher-order digital modulation schemes, including 16 quadrature amplitude modulation (16QAM), 64QAM and binary PSK (BPSK). Quantitative results corroborate the improved CS performance of the AR-RD structure for higher-order modulations schemes, which provides a propitious design trade-off between AR-RD complexity, latency and CS performance.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2013 IET |
| Keywords: | random demodulator; autoregressive filter; minimum description length; precolouring; spectral concentration |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Research Group: | Centre for Research in Computing (CRC) |
| Related URLs: | |
| Item ID: | 38303 |
| Depositing User: | Laurence Dooley |
| Date Deposited: | 11 Sep 2013 14:06 |
| Last Modified: | 12 Sep 2018 19:57 |
| URI: | http://oro.open.ac.uk/id/eprint/38303 |
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