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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 9 > No. 1

 
   

A Wideband Spectrum Data Compression Algorithm base on Energy Detection

PP: 419-424
Author(s)
Zhoujin Tang, Tao Peng,
Abstract
In cognitive radio systems, interactive perception spectrum data between cognitive users can effectively improve the overall performance of the userís perception of communication. However, a large number of spectrum data accumulation will increasing the consumption of resources during interaction, lack of effective spectrum data compression algorithm cognition become a bottleneck restricting the collaboration. This paper presents a wideband spectrum data compression algorithm based on the energy detection and sliding window, removing redundant information of noise, compressing the detail of signal with different weights, reserving useful information, improving the compression ratio and reducing compression loss. In addition, the algorithm retains the spectrum details of the signal by the DCT transform in the case of a high compression ratio, and those details are propitious to spectrum analysis. Especially under low occupancy ratio circumstances, experimental results show that the compression performance of this algorithm increase several times compare to JPEG and JPEG2000.

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