4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Performance comparison of time delay estimation for whole and dispersed spectrum utilization in cognitive radio systems

  • @INPROCEEDINGS{10.1109/CROWNCOM.2009.5189398,
        author={Hasari Celebi and Khalid A.  Qaraqe and Huseyin  Arslan},
        title={Performance comparison of time delay estimation for whole and dispersed spectrum utilization in cognitive radio systems},
        proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2009},
        month={8},
        keywords={},
        doi={10.1109/CROWNCOM.2009.5189398}
    }
    
  • Hasari Celebi
    Khalid A. Qaraqe
    Huseyin Arslan
    Year: 2009
    Performance comparison of time delay estimation for whole and dispersed spectrum utilization in cognitive radio systems
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2009.5189398
Hasari Celebi1,2,*, Khalid A. Qaraqe1,2,*, Huseyin Arslan3,4,*
  • 1: Department of Electrical and Computer Engineering, Texas A&M University at Qatar
  • 2: PO Box 23874 Texas A&M Engineering Building, Education City, Doha, Qatar
  • 3: Electrical Engineering Department, University of South Florida,
  • 4: 4202 E. Fowler Avenue, ENB-118,Tampa, FL, 33620
*Contact email: hasari.celebi@qatar.tamu.edu, khalid.qaraqe@qatar.tamu.edu, arslan@eng.usf.edu

Abstract

In cognitive radio systems, information is transmitted and received over multiple dispersed bands using dispersed spectrum utilization approach whereas information is transmitted and received over a single band using whole spectrum utilization approach. In this paper, performance of both approaches are compared theoretically considering CRLB and maximum likelihood (ML) method for time delay estimation. The results show that dispersed spectrum utilization methods have a great potential to exploit the efficiency of spectrum utilization and support goal driven and autonomous cognitive radio systems.