| Title | Wide-band spectrum sensing for cognitive radio by combining antenna signals |
| Publication Type | Conference Paper |
| Year of Publication | 2010 |
| Authors | Betlehem, T., Coulson A.J., and Reid A.B. |
| Conference Name | 2010 Australian Communications Theory Workshop, AusCTW 2010 |
| Date Published | 2010 |
| Keywords | Antennas, Cognitive radio, Critical component, Error detection, Error rate, False alarms, Hidden Markov models, Interference-to-noise ratio, Mathematical operators, Missed detections, Multiple antenna, Post-detection combining, Radio, Radio spectra, Radio systems, Receiver operator characteristics, Regulatory bodies, Signal detection, Spectrum sensing, Technical presentations, Wide-band, Wideband spectrum |
| Abstract | This paper presents methods for enhancing blind spectrum sensing of wide-band signals using multiple antennas on a single cognitive receiver. Regulatory bodies in various countries have found that most radio spectrum is inefficiently utilized. Cognitive radio is a paradigm capable of utilizing bands assigned to licensed or primary users when they are not being used. A critical component of a functioning cognitive radio system is the spectrum sensing of the primary users. We present a hidden Markov model based approach to detecting wide-band signals with multiple antennas, contributing (i) simple means of combining signals across multiple antennas, namely pre-detection combining and post-detection combining, and (ii) a modified hidden Markov model algorithm to detect the interferers from the antenna-combined signals. The designs are characterized using both the dependence of missed detection and false alarm error rates on the Interference-to-Noise Ratio (INR) and receiver operator characteristics. ©2010 IEEE. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-77951445954&partnerID=40&md5=80451127987277853343da24d75e50e4 |
| DOI | 10.1109/AUSCTW.2010.5426770 |
