A Wideband Spectrum Data Segment Compression Algorithm in Cognitive Radio Networks

In cognitive radio networks, cooperative spectrum sensing(SS) between cognitive users can improve the detection performance, reduce the testing time. However, a large amount of data interaction restrict its application and increase the consumption of resources. For the demand of cooperative SS, this paper improved the compression algorithm based energy detection which in the early stage of the work, the spectrum data is divided into segments of different characteristic and respectively compressed. The presented algorithm further improved the compression ratio compared to the original algorithm. Verified by the experiment of satellite signals, the experimental results show that the compression performance of this algorithm will be increased several times compared to JPEG, JPEG2000 and detection-based compression algorithm.