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In this paper, we propose a multiple target localization and power estimation approach in wireless sensor networks using compressive sensing (CS). While this is not the first work on applying CS to localize targets, it is the first to achieve localization without the prior knowledge of transmitting powers of targets. The locations and transmitting powers of targets are formulated as a sparse vector...
This paper develops a fuzzy critical chain method for resource conflict resolution in software projects scheduling. The method consists of developing a novel fuzzy estimation technique based on Delphi for activity duration, and adding the capacity constraint buffer between neighboring projects to deal with resource conflict. The size of the capacity constraint buffer is determined by computation with...
This paper considers the conventional eigenvalue decomposition (EVD) based and widely linear (WL) channel estimations to alleviate inherent pilot contamination problems in multi-cell multi-user massive multiple-input multiple-output (MU-Massive-MIMO) systems. Both channel estimation schemes utilize the asymptotic orthogonality between the propagation vectors of different users which would be true...
In cognitive radio, the cognitive users should ensure the communication of the primary users and avoid or control their interference to the primary users. Therefore, we proposed cognitive beamforming algorithm. DOA estimation, adaptive beamforming and DOA tracking will be considered to accomplish the dynamic cognitive transmission. After the direction angle of each signal has been obtained by the...
In this paper, a new direction of arrival (DOA) estimation method is proposed for uniform linear array when both uncorrelated and coherent sources are present. After the first eigen decomposition of the received data covariance matrix, the eigenvector corresponding to the maximum eigenvalue is used to construct a new matrix, by the second eigen decomposition of which, the DOAs of the uncorrelated...
A novel blind source separation (BSS) method of Frequency-Hopping (FH) signals based on time frequency ratio is proposed in this paper. The Short Time Fourier Transform (STFT) of each observation is computed firstly. Then the TF Ratios information of the mixed signals is used to localize the single source zone. Finally, we can obtain an estimation of the separating matrix and output signals. Comparing...
The crucial problem of multisensor image registration is how to establish the correspondences between the features extracted from reference and input images. Generally, most existing methods only consider how to extract features, the quality of the features is ignored. In this paper, we combine scale invariant feature transform (SIFT) and maximally stable extremal region (MSER) to initialize the process...
Multisensor image registration is necessary in many applications of remote sensing imagery, the crucial problem is how to establish the correspondence between the features extracted from the reference and input image. Generally, most existing methods only use feature similarity or intensity similarity. In this paper, a coarse-to-refined method, which combines modified scale invariant feature transform...
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