Sparse fourier transform based millimeter wave wideband spectrum sensing

2015 ◽  
Author(s):  
Meili Na ◽  
Peipei Li ◽  
Zhigang Zhou
Keyword(s):  
Fourier Transform ◽  
Spectrum Sensing ◽  
Millimeter Wave ◽  
Wideband Spectrum Sensing

scholarly journals Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Yulin Wang ◽  
Gengxin Zhang
Keyword(s):  
Fourier Transform ◽  
Discrete Cosine Transform ◽  
Spectrum Sensing ◽  
Detection Probability ◽  
Compressive Sampling ◽  
Cosine Transform ◽  
Wideband Spectrum Sensing ◽  
Communication Signal ◽  
Dct Domain ◽  
Sparsity Structure

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.

scholarly journals Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio

2019 ◽  
Vol 11 (11) ◽  
pp. 244
Author(s):  
Wang ◽  
Wu ◽  
Yao ◽  
Qin
Keyword(s):  
Fourier Transform ◽  
Spectrum Sensing ◽  
Filter Bank ◽  
Energy Detection ◽  
High Rate ◽  
Idle State ◽  
Trade Off ◽  
Wideband Spectrum Sensing ◽  
Wideband Signals ◽  
Sensing Time

In order to ease the conflict between the bandwidth demand of high-rate wireless communication and the shortage of spectrum resources, a wideband spectrum sensing method based on reconfigurable filter bank (RFB) with adjustable resolution is presented. The wideband signals are uniformly divided into multi-narrowband signals by RFB, which is designed by polyphase uniform Discrete Fourier Transform (DFT) modulation, and each sub-band is sensed by energy detection. According to the idle proportion of detected sub-bands, the number of RFB sub-bands is reset in next spectrum-sensing time. By simulating with collected wideband dataset, the influence of filter bank sub-bands number and idle state proportion on the sensing results is analyzed, and then on the basis of the trade-off between spectrum-sensing resolution and computational complexity, the optimal sub-bands number of filter bank is selected, so as to improve the detection performance and save resources.

scholarly journals An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1346
Author(s):  
Xinyu Xie ◽  
Zhuhua Hu ◽  
Min Chen ◽  
Yaochi Zhao ◽  
Yong Bai
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Sampling Rate ◽  
Radio Networks ◽  
Single Node ◽  
Decision Algorithm ◽  
Collusion Attacks ◽  
Wideband Spectrum Sensing

Spectrum is a kind of non-reproducible scarce strategic resource. A secure wideband spectrum sensing technology provides the possibility for the next generation of ultra-dense, ultra-large-capacity communications to realize the shared utilization of spectrum resources. However, for the open collaborative sensing in cognitive radio networks, the collusion attacks of malicious users greatly affect the accuracy of the sensing results and the security of the entire network. To address this problem, this paper proposes a weighted fusion decision algorithm by using the blockchain technology. The proposed algorithm divides the single-node reputation into active reputation and passive reputation. Through the proposed token threshold concept, the active reputation is set to increase the malicious cost of the node; the passive reputation of the node is determined according to the historical data and recent performance of the blockchain. The final node weight is obtained by considering both kinds of reputation. The proposed scheme can build a trust-free platform for the cognitive radio collaborative networks. Compared with the traditional equal-gain combination algorithm and the centralized sensing algorithm based on the beta reputation system, the simulation results show that the proposed algorithm can obtain reliable sensing results with a lower number of assistants and sampling rate, and can effectively resist malicious users’ collusion attacks. Therefore, the security and the accuracy of cooperative spectrum sensing can be significantly improved in cognitive radio networks.

scholarly journals Sub-Nyquist Wideband Spectrum Sensing Based on Analog to Information Converter for Cognitive Radio

2021 ◽  
Vol 182 ◽  
pp. 132-139
Author(s):  
Marwa Mashhour ◽  
Aziza I. Hussein ◽  
Hussein Sh. Mogahed
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Wideband Spectrum Sensing
Sign in / Sign up

Export Citation Format

Share Document