Spectrum-sensing algorithms and methods

Details Spectrum-sensing algorithms and methods Spectrum-sensing algorithms and methods

2007-09-17

2010-12-28

Bocure, Tesfaldet (Department: 2611)

Pulse or digital communications

Receivers

Automatic frequency control

C375S377000, C455S161100

Reexamination Certificate

active

07860197

ABSTRACT:
Spectrum-sensing algorithms and methods may be provided for use in cognitive radios and other applications. The spectrum-sensing algorithms and methods may include receiving an input spectrum having a plurality of channels, performing a coarse scan of the plurality of channels of the input spectrum to determine one or more occupied candidate channels and vacant candidate channels, where the coarse scan is associated with a first resolution bandwidth and a first frequency sweep increment, performing a fine scan of the occupied candidate channels and the vacant candidate channels to determine actually occupied channels and actually vacant channels, where the fine scan is associated with a second resolution bandwidth and a second frequency sweep increment, and storing an indication of the actually occupied channels and the actually vacant channels.

REFERENCES:
patent: 4501020 (1985-02-01), Wakeman
patent: 5282227 (1994-01-01), Crawford
patent: 5386495 (1995-01-01), Wong et al.
patent: 5552792 (1996-09-01), Smith
patent: 5638399 (1997-06-01), Schuchman et al.
patent: 5784285 (1998-07-01), Tamaki et al.
patent: 5974042 (1999-10-01), Frank et al.
patent: 6219373 (2001-04-01), Lee et al.
patent: 6735238 (2004-05-01), McCorkle
patent: 6876864 (2005-04-01), Chapin
patent: 6912372 (2005-06-01), McCorkle et al.
patent: 6928046 (2005-08-01), Sajadieh et al.
patent: 7272265 (2007-09-01), Kouri et al.
patent: 7313393 (2007-12-01), Chitrapu
patent: 7408907 (2008-08-01), Diener
patent: 7408973 (2008-08-01), McCorkle et al.
patent: 7415080 (2008-08-01), Echavarri et al.
patent: 7483700 (2009-01-01), Buchwald et al.
patent: 7512404 (2009-03-01), Morton et al.
patent: 7710919 (2010-05-01), Woo et al.
patent: 2002/0065047 (2002-05-01), Moose
patent: 2002/0157106 (2002-10-01), Uskali et al.
patent: 2003/0076165 (2003-04-01), Furman et al.
patent: 2003/0161411 (2003-08-01), McCorkle et al.
patent: 2003/0198308 (2003-10-01), Hoctor et al.
patent: 2003/0224741 (2003-12-01), Sugar et al.
patent: 2004/0156445 (2004-08-01), McCorkle
patent: 2005/0220228 (2005-10-01), Trachewsky et al.
patent: 2006/0084444 (2006-04-01), Kossi et al.
patent: 2006/0193372 (2006-08-01), McCorkle et al.
patent: 2006/0221918 (2006-10-01), Wang
patent: 2006/0233288 (2006-10-01), Gruijters et al.
patent: 2006/0250891 (2006-11-01), Krohn
patent: 2007/0115878 (2007-05-01), Ashish et al.
patent: 2007/0117517 (2007-05-01), Hui et al.
patent: 2007/0211669 (2007-09-01), Umatt et al.
patent: 2008/0057948 (2008-03-01), Mittal et al.
patent: 2008/0247486 (2008-10-01), McCorkle et al.
patent: 2008/0291985 (2008-11-01), Adnani et al.
patent: 2009/0279626 (2009-11-01), Wang
patent: 2009/0311982 (2009-12-01), Zhang et al.
patent: 2010/0093360 (2010-04-01), Choi et al.
patent: 19806684 (1997-02-01), None
patent: 0266962 (1987-10-01), None
patent: 0266962 (1988-05-01), None
patent: 0602520 (1993-12-01), None
patent: 0602520 (1994-06-01), None
patent: 2431548 (2007-04-01), None
patent: 2435567 (2007-08-01), None
patent: 2003018116 (2003-01-01), None
patent: 2003018116 (2007-03-01), None
patent: 03036819 (2003-05-01), None
patent: WO 03036819 (2003-05-01), None
patent: WO 2005081416 (2005-09-01), None
patent: 2007094604 (2007-08-01), None
Zhang et al., An Efficient Multi-Resolution Spectrum Sensing Method for Cognitve Radio, 2008, Third International Conference on Communications and Networking in China, pp. 1226-1229.
Park et al., Implementation Issues of a Wideband Multi-Resolution Spectrum Sensing (MRSS) Technique for Cognitve Radio (CR) Systems, 1st International Conference on Cognitve Radio Oriented Wireless Networks and Communications, 2006, pp. 1-5.
Hur et al., A Wideband Analog Multi-Resolution Spectrum Sensing (MRSS) Technique for Cognitive Radio (CR) Systems, 2006, IEEE International Symposium on Circuits and Systems, 2006. ISCAS 2006, pp. 4090-4093.
Laskar, et al., Reconfigurable RFICs and Modules for Cognitive Radio, 2006, Silicon Monolithic Integrated Circuits in RF Systems, 2006, Digest of Papers. 2006 Topical Meeting on, pp. 283-286.
D. Cabric, et al, Implementation Issues in Spectrum Sensing for Cognitive Radios, Berkeley Wireless Research Center, University of California, Berkeley, IEEE, 2004, pp. 772-776.
S. Haykin, Cognitive Radio: Brain-Empowered Wireless Communications, IEEE Journal on Selected Areas in Communications, vol. 23, No. 2, Feb. 2005, pp. 201-220.
United Kingdom International Search Report for Application No. GB0719063.0 dated Feb. 4, 2008.
Bryan Ackland et al., “High Performance Cognitive Radio Platform with Integrated Physical and Network Layer Capabilities.” Interim Technical Report, Jul. 2005, pp. 1-13, Rutgers University.
Blazquez-Fernandez, “Design of synchronization subsystem for an Ultra Wideband Radio.” MIT May 2003, this paper can be found in http://dspace.mit.edu/bitstream/handle/1721.1/38447/53225744.pdf?sequence=1 discloses the use of course and fine technologies.
Soo-Young Chang, “Analysis of Proposed Sensing Schemes: IEEE 802.22-06/0032r0,” Feb. 2006 this paper can be found in http://mentor.ieee.org/802.22/dcn/06/22-06-0032-00-0000-analysis-sensing-schemes.ppt and discloses different techniques including MRSS of the present application.
D. Cabric et al., “Implementation Issues in Spectrum Sensing for Cognitive Radios.” Berkeley Wireless Research Center, University of California, IEEE, 2006, pp. 772-776.
D. Cabric et al., “Physical Layer Design Issues Unique to Cognitive Radio Systems.” IEEE 16thInternational Symposium on Personal, Indoor and Mobile Radio Communications. Sep. 2005: vol. 2, p. 759-763.
Gardner, “Signal Interception: A Unifying Theoretical Framework for Feature Detection,” IEEE Trans. on Communication, vol. 36, No. 8, Aug. 1988.
Graps, “An Introduction to Wavelets.” IEEE Computational Science and Engineering. vol. 2, No. 2, Jun. 1995. 50-61.
S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications.” IEEE Journal on Selected Areas in Communications, vol. 23, No. 2, Feb. 2005. 201-220.
Hoctor, “Delay-Hopped Transmitted-Reference RF Communications.” 2002 IEEE Convention Conference, pp. 265-269.
Hur, “A Cognitive Radio (CR) Testbed System Employing a Wideband Multi-Resolution Spectrum Sensing (MRSS) Technique.” 2006 IEEE 64thVehicular Technology Conference, 2006, VTC-2006 Fall, Sep. 25-28, 2006 pp. 1-5.
Hur, “A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems,” Proceedings, 2006 IEEE International Symposium on Circuits and Systems, 2006, ISCAS 2006.
Hur, “WLC05-1: A Cognitive Radio (CR) System Employing a Dual-Stage Spectrum Sensing Technique: A Multi-Resolution Spectrum Sensing (MRSS) and a Temporal Signature Detechtion (TSD) Technique,” Global Telecommunications Conference, 2006, GLOBECOM '06, IEEE Nov. 27, 2006-Dec. 1, 2006 pp. 1-5.
Kostylev, “Energy Detection of a Signal with Random Amplitude,” IEEE International Conference on Communication, vol. 3, p. 1606-1610, Apr. 2002.
Joy Laskar et al., “Reconfigurable RFICs and Modules for Cognitive Radio.” SiRF 2006, pp. 283-286.
Mitola, “Cognitive radio for flexible mobile multimedia communications,” in Proc. IEEE International Workshop on Mobile Multimedia Communication, Nov. 15, 1999.
Mokhtar Nibouche et al., “Design and Implementation of a Wavelet Based System.” IEEE Xplore. Downloaded Mar. 25, 2009. 463-466.
Olivier Rioul et al., “Fast Algorithms for Discrete and Continuous Wavelet Transforms.” IEEE Transactions on Information Theory. vol. 38, No. 2. Mar. 1992. 569-586.
Park, “Implementation Issues of a Wideband Multi-Resolution Spectrum Sensing (MRSS) Technique for Cognitive Radio (CR) Systems,” 1stInternational Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2006, Jun. 8-10, 2006. pp. 1-5.
Park, “Analog integrator and analog-to-digital converter effect on a Multi-Resolution Spectrum Sensing (

Affiliated with

Also associated with

Rating

Spectrum-sensing algorithms and methods does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Spectrum-sensing algorithms and methods, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spectrum-sensing algorithms and methods will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4214834