Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21–23, 2015, Revised Selected Papers

Research Article

Low Complexity Multi-mode Signal Detection for DTMB System

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  • @INPROCEEDINGS{10.1007/978-3-319-24540-9_22,
        author={Xue Liu and Guido Bruck and Peter Jung},
        title={Low Complexity Multi-mode Signal Detection for DTMB System},
        proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers},
        proceedings_a={CROWNCOM},
        year={2015},
        month={10},
        keywords={Digital terrestrial multimedia broadcast TV white space Spectrum sensing Pseudo-noise sequence},
        doi={10.1007/978-3-319-24540-9_22}
    }
    
  • Xue Liu
    Guido Bruck
    Peter Jung
    Year: 2015
    Low Complexity Multi-mode Signal Detection for DTMB System
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-24540-9_22
Xue Liu1,*, Guido Bruck1,*, Peter Jung1,*
  • 1: University of Duisburg-Essen
*Contact email: xue.liu@kommunikationstechnik.org, guido.bruck@kommunikationstechnik.org, peter.jung@kommunikationstechnik.org

Abstract

The Digital Terrestrial Multimedia Broadcast (DTMB) system utilizes three modes of Pseudo-noise (PN) sequences as Frame Header (FH) that can be exploited for spectrum sensing on TV White Space (TVWS). As a consequence, multi-mode signal detection is required at the receiver. In this paper, Neyman-Person (NP) lemma based, Multi-mode Local Sequence (MLS) detectors are proposed for multi-mode signal detection. The theoretical and quantitative performance analysis of MLS detectors are mainly concentrated and fully studied by utilizing the addition and auto-correlation properties of PN sequence. In addition, the single-mode detector for the DTMB system is presented as the optimal detector and taken as a benchmark for MLS detectors. Both theoretical analyses and simulation results show that MLS detectors are capable of multi-mode signal detection and satisfy the predefined sensing requirements.