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Narrowband Signal Localization Based on Enhanced LAD Method  

Jia, Ke Xin (Department of Electronic Engineering, University of Electronic Science and Technology of China)
He, Zi Shu (Department of Electronic Engineering, University of Electronic Science and Technology of China)
Publication Information
Journal of Communications and Networks / v.13, no.1, 2011 , pp. 6-11 More about this Journal
Abstract
In this paper, an enhanced localization algorithm based on double thresholds (LAD) is proposed for localizing narrowband signals in the frequency domain. A simplified LAD method is first studied to reduce the computational complexity of the original LAD method without performance loss. The upper and lower thresholds of the simplified LAD method are directly calculated by running the forward consecutive mean excision algorithm only once. By combining the simplified LAD method and binary morphological operators, the enhanced LAD method is then proposed and its performance is simply discussed. The simulation results verify the correctness of discussion and show that the enhanced LAD method is superior to the LAD with adjacent cluster combining method, especially at low signal-to-noise ratio.
Keywords
Forward consecutive mean excision (FCME); localization algorithm based on double thresholds (LAD); narrowband (NB) signal;
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