Signal Recognition Algorithm Based on Random Forests for Spectrum Sensing in Cognitive Network

2014 ◽  
Vol 11 (8) ◽  
pp. 2551-2558
Author(s):  
Xin Wang

The movement along the glide path of an unmanned aerial vehicle during landing on an aircraft carrier is investigated. The implementation of this task is realized in the conditions of radio silence of the aircraft carrier. The algorithm for treatment information from an optical landing system installed on an aircraft carrier is developed. The algorithm of the color signal recognition assumes the usage of the image frame preliminary treatment method via a downsample function, that performs the decimation process, the HSV model, the Otsu’s method for calculating the binarization threshold for a halftone image, and the method of separating the connected Two-Pass components. Keywords unmanned aerial vehicle; aircraft carrier; approach; glide path; optical landing system; color signal recognition algorithm; decimation; connected components; halftone image binarization


2019 ◽  
Vol 56 (14) ◽  
pp. 140602 ◽  
Author(s):  
盛智勇 Zhiyong Sheng ◽  
曾志强 Zhiqiang Zeng ◽  
曲洪权 Hongquan Qu ◽  
李伟 Wei Li

2009 ◽  
Vol 52 (12) ◽  
pp. 2332-2341 ◽  
Author(s):  
FangMin Xu ◽  
XuFeng Zheng ◽  
XiaoQiang Li ◽  
Zheng Zhou

The spectrum scarcity problem is addressed by number solutions by various researchers in cognitive network field. The dynamic spectrum allocation using cooperative spectrum sensing is required to analyze with respect to errors present in detection due to fixed threshold. The spectrum allocation on the basis of demand may involve the priority based requests for spectrum allocation. The contribution of this paper is for evaluating the performance of dynamic threshold energy detection schemes which are error dependent and hence minimization of errors. The performance evaluation of two methods with error minimization strategy are evaluated and results are compared to know the performance oriented dependency parameters in dynamic threshold methods and to provide the platform strategy for energy optimization in cooperative sensing.


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