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deflection coefficient maximization criterion based optimal cooperative spectrum sensing

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2010年第9期64卷 819-827页

作者： Shen, Bin Ullah, Sana Kwak, Kyungsup Inha Univ Grad Sch Informat Technol & Telecommun Inchon 402751 South Korea

This paper proposes an optimal cooperative spectrum sensing scheme, based on the criterion of deflection coefficient maximization of the global decision statistic. Multiple cooperative secondary users serve in the cognitive radio network to provide space diversity for spectrum sensing. After the fusion center acquires the optimal fusion weights, an optimal global threshold setting strategy is utilized to obtain the final global decision. Since the proposed optimal cooperative sensing scheme requires precise estimations of primary user signal strengths and the noise variances at different cooperative secondary users, a recursive estimate algorithm is also proposed. Simulations illustrate the proposed optimal soft fusion scheme can significantly improve the spectrum sensing performance and outperform the conventional maximal-ratio combining and equal gain combining schemes. The recursive estimate algorithm can effectively approach the ideal performance of the proposed sensing scheme. (C) 2009 Elsevier GmbH. All rights reserved.

关键词： deflection coefficient maximization Energy detection Optimal soft fusion Cooperative spectrum sensing Cognitive radio

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Power Constrained Partially Coherent Distributed Detection Over Fading Multiaccess Channels

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IEEE SENSORS JOURNAL 2013年第7期13卷 2729-2736页

作者： Xu, Zhenhua Huang, Jianguo Zhang, Qunfei Northwestern Polytech Univ Dept Elect & Commun Engn Xian 710072 Peoples R China

In this paper, we consider the problem of power constrained partially coherent distributed detection over fading multiaccess channels. The deflection coefficient maximization is used to optimize the performance of detectors. For a partially coherent distributed detection system, the phase synchronization is imperfect at the fusion center;the residual phase error is modeled by the Tikhonov probability distribution function. Two cases of the channel gain information are considered separately at the fusion center: one case with perfect channel gain [the corresponding method is referred to as partially coherent deflection coefficient maximization (PC-DCM)], the other case with statistical information of channel gain (the corresponding method is referred to as PC-DCM-CS, with CS being the abbreviation for "channel statistics"). We derive the closed-form solutions to the considered problems. Monte Carlo simulations are carried out to verify the performance of the proposed methods. Simulation results show that the newly proposed methods could significantly improve the detection performance of the fusion system under a low signal-to-noise ratio and low false alarm probability.

关键词： deflection coefficient maximization distributed detection multiaccess channel partially coherent power constraint

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PARTIALLY COHERENT DISTRIBUTED DETECTION UNDER TOTAL POWER CONSTRAINT

PARTIALLY COHERENT DISTRIBUTED DETECTION UNDER TOTAL POWER C...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xu, Zhenhua Huang, Jianguo Zhang, Qunfei Northwestern Polytech Univ Coll Marine Engn Xian 710072 Peoples R China

ISBN: (纸本)9781479903566

In this paper, we consider the problem of power constrained partially coherent distributed detection over fading multiaccess channel. The deflection coefficient maximization (DCM) is used to optimize the performance of detectors. Two cases of the channel gain information are considered separately at the fusion center, one case with perfect channel gain (the corresponding method is referred to as PC-DCM, with PC being the abbreviation for "partially coherent"), the other case with statistical information of channel gain (the corresponding method is referred to as PC-DCM-CS, with CS being the abbreviation for "channel statistics"). We derive the closed-form solutions to the considered problems. Monte-Carlo simulations are carried out to verify the performance of the proposed methods. Simulation results show that the proposed new methods could significantly improve the detection performance of the fusion system at low signal-to-noise ratio (SNR).

关键词： Distributed detection partially coherent deflection coefficient maximization power constraint multiaccess channel

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Coherent Distributed Detection Using Inhomogeneous Sensors Under Local Power Constraint

Coherent Distributed Detection Using Inhomogeneous Sensors U...

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2015 International Conference on Mechanical,Electronic and Information Technology Engineering

作者： Zhenhua Xu Jiangyuan Li Jian Wang China Electronics Technology Group Corporation No.38 Research Institute

In this paper, we consider the problem of local power constrained coherent distributed detection over fading multi-access channel(MAC). The deflection coefficient maximization(DCM) is used to optimize the performance of fusion system under local power constraint of sensors. We use the statistical information of channel gain to obtain the deflection coefficient of the detection statistics at the fusion center. We derive the closed-form solution to the considered optimization problem. Monte-Carlo simulations are carried out to verify the performance of the proposed method. Simulation results show that the proposed method could significantly improve the detection performance of the fusion system under local power constraint and low signal-to-noise ratio(SNR).

关键词： Distributed detection deflection coefficient maximization local power constraint multi-access channel

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