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A Wideband Spectrum Data Compression Algorithm base on Energy Detection |
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PP: 419-424 |
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Author(s) |
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Zhoujin Tang,
Tao Peng,
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Abstract |
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| In cognitive radio systems, interactive perception spectrum data between cognitive users can effectively improve the overall
performance of the user’s 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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