Implementation Issues of A Wideband Multi-Resolution Spectrum Sensing (MRSS) Technique for Cognitlve Radio (CR) Systems
- 1 June 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Spectrum sensing is a key function for a cognitive radio (CR) system. An analog-based multi-resolution spectrum sensing (MRSS) technique was proposed as a flexible, low-power, high-speed spectrum-sensing solution. In this paper, implementation issues of the MRSS technique are investigated, and the corresponding practical specifications are suggested. First, nonlinear effects from a voltage-controlled oscillator (VCO) and multipliers are explored. System simulation results show that harmonic distortion components of VCO and wavelet-pulse power levels should be controlled to alleviate these nonlinear effects. Afterward, I/Q phase- and gain-mismatch effects ore addressed. Specifically, narrow-band signals are more sensitive to these gain and phase mismatches compared to broadband digital modulated signals. Overall, phase mismatch is more sensitive than gain mismatch on MRSS performance, showing a linear degradation of a detected power-level up to a 60-degree phase-mismatchKeywords
This publication has 7 references indexed in Scilit:
- A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Weighted energy detection of ultra-wideband signalsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Implementation issues in spectrum sensing for cognitive radiosPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Cognitive radio: brain-empowered wireless communicationsIEEE Journal on Selected Areas in Communications, 2005
- Energy detection of a signal with random amplitudePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Cognitive radio for flexible mobile multimedia communicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Signal interception: a unifying theoretical framework for feature detectionIEEE Transactions on Communications, 1988