The Open UniversitySkip to content
 

A novel precolouring-random demodulator architecture for compressive spectrum estimation

Karampoulas, D.; Kouadri Mostéfaoui, S. M. and Dooley, L. S. (2013). A novel precolouring-random demodulator architecture for compressive spectrum estimation. In: Intelligent Signal Processing (ISP) Conference 2013, 2-3 Dec 2013, London.

Full text available as:
Full text not publicly available (Accepted Manuscript)
Due to publisher licensing restrictions, this file is not available for public download
Click here to request a copy from the OU Author.
URL: http://conferences.theiet.org/isp/about/index.cfm
Google Scholar: Look up in Google Scholar

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
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: 07 Dec 2018 23:04
URI: http://oro.open.ac.uk/id/eprint/38303
Share this page:

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU