A Quick Wideband Spectrum Sensing Algorithm Based On Analog Filter
Ningning Hou, Gang Xie
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.22How to use a DOI?
- Cognitive Radio, wideband spectrum sensing, quick sense
- Wideband spectrum sensing is very essential in Cognitive Radio (CR) systems. In order to improve the opportunistic throughput for mobile devices, the CR must sense the signals in multiple bands or wideband quickly and efficiently. The relevant literature has discussed a lot about OFDM and compressed sensing to deal with the wideband detection of signals. In this paper, we propose a quick analog-filter based spectrum sensing algorithm, using energy detection in each sub-band. The insight idea of this algorithm is that we use exponential sense to quickly find out the sequential sub-bands which are clear in the wideband, and linear sense to find the occupied sub-bands in the sensing window step by step. Furthermore, we design a dynamic adaptive algorithm to optimize the total time of sensing. This algorithm is much faster than sequential scan and much cheaper than using a wideband radio. Meanwhile, it can reach the same asymptotic complexity as compressed while the realization is much easier. Further performance improvement can be achieved through channel bonding. It is shown that our algorithm can obtain anexcellent wideband spectrum sensing performance without the sparsity information.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ningning Hou AU - Gang Xie PY - 2016/08 DA - 2016/08 TI - A Quick Wideband Spectrum Sensing Algorithm Based On Analog Filter BT - 2016 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 87 EP - 91 SN - 2352-538X UR - https://doi.org/10.2991/cset-16.2016.22 DO - https://doi.org/10.2991/cset-16.2016.22 ID - Hou2016/08 ER -