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Wideband spectrum sensing is a critical functionality in cognitive radio networks to enable dynamic spectrum sharing, but entails a major implementation challenge in compact commodity radios with restricted energy and computation capabilities. Exploiting jointly sparse nature of multiband signals, this paper proposes an efficient blind sub-Nyquist cooperative wideband spectrum sensing scheme, which...
In this paper, a novel spectrum sensing algorithm called Gaussian singular value (GSV) algorithm is proposed. The method uses the ratio of the largest and the smallest singular values of the received signal matrix to detect the presence or absence of the primary signal. More importantly, GSV algorithm is improved to satisfy the requirements of MIMO situation. In addition, a measure called the credibility...
In this paper, a new spectrum sensing algorithm is proposed based on the eigenvalue distribution of the covariance matrix of sensing nodes. The received signals of all the nodes can be denoted by a non- Hermitian random matrix. A recent research indicates that the eigenvalue distribution for the product of non-Hermitian random matrices follows Single Ring Theorem for the noise-only case. However,...
The generalized likelihood ratio test (GLRT)-based multi-symbol transmitted reference detector for UWB systems is an attractive technology to provide high performance communication without explicit channel estimation. Unfortunately, the GLRT-based detector is generally a non-deterministic polynomial time problem in terms of the number of symbols. In this paper, we propose a polynomial-time (O(M3),...
Eigenvalue-based detection is one of the most promising techniques proposed for spectrum sensing in cognitive radio as it is insensitive to the noise uncertainty problem. However, the eigenvalue-based detection schemes presented so far rely on asymptotic assumptions that are not suitable for many realistic scenarios, thus determining a substantial degradation of detection performance. In this paper,...
In order to resolve the conflict between coal dust sensor measurement precision and real time demands, an optimal arithmetic for dust pattern hierarchical cluster and pattern recognition was presented according to the dust sample diffraction angular distribution. The coal dust distribution of different mines had marked difference because there was the diversity of geological structure and degree of...
AIC method shows good performance in low SNR but gives over-estimation for target number, while MDL can obtain consistent estimation in high SNR but shows bad performance in low SNR. In this paper, a new method for detecting the source number is proposed to take a good compromise between the AIC and the MDL, which bases on Gerschgorinpsilas disk theorem and information theoretic criterion. The method...
Fault diagnosis plays an important part role in ensure the reliability of integrated navigation, the paper was proposed especially for the integrated navigation which used on ship. How to keep its safety must confront to us. Now most of fault diagnosis are based on traditional methods, because wavelet transformation can localize signals both in time and frequency, and neural network has the ability...
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