1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth. To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2014-09-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.09.015/ |
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| Summary: | Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth. To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensing and distributed model was proposed. The sensing data of the nodes was compressive sampled and quantified in 1 bit, and then the data was fused in fusion node, through the mode of JSM-2. Finally the spectrum was reconstructed by the BIHT algorithm to implement spectrum sensing. Simulation results show that the proposed method has better spectrum detection performance with a few samples in low SNR, so it is a practical method of spectrum sensing. |
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| ISSN: | 1000-0801 |