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The Scientific World Journal
Volume 2014 (2014), Article ID 464895, 5 pages
Research Article

Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform

Institute of Communication Engineering, PLA University of Science and Technology, Yudao Street 14, Nanjing 210007, China

Received 6 November 2013; Accepted 25 November 2013; Published 8 January 2014

Academic Editors: W. Sun and J. Zhou

Copyright © 2014 Yulin Wang and Gengxin Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT domain. Compared with discrete Fourier transform (DFT), wideband communication signal has much sparser representation and easier implementation in DCT domain. Simulation result shows that the proposed DCT-CSS scheme outperforms the conventional DFT-CSS scheme in terms of MSE of reconstruction signal, detection probability, and computational complexity.