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In active sensing applications, MIMO systems permit increased flexibility for transmit beampattern design, via waveform diversity, compared to phased-array approaches. When uniform arrays are not mandated, additional degrees of freedom for transmit beampattern design can be obtained via sparse array design considerations. Herein, we extend the motivation behind sparse receive array methodologies to...
This paper addresses a new method based on spatial correlation matrix to calibrate uniform linear array for HF Surface Wave Radar (HFSWR). Strong point echoes, such as target, clutter, transponder and so on, which are highly spatial correlated, can be used to structure spatial correlation matrix. And the matrix contains angles of echoes and phase errors information. In this paper, we use two-dimension...
We have proposed the combining evaluation method of grey relational analysis and AHP method, and apply it to the destruction evaluation of airport target. It uses reciprocal judgment matrix to confirm the element weight of scheme measure hierarchy and introduce the triangular fuzzy number complementary judgment matrix to confirm the element weight of rule hierarchy. The evaluation and comprehensive...
In this thesis, Firstly, some properties of self-orthogonal Latin square are studied. Secondly, the exists of v-self-orthogonal Latin squares of order v is proofed . and then several special constructions of v-self-orthogonal Latin squares of order v are provided. Especially , It have the specific DOP set. and recursive construction is used to generate the v-self-orthogonal Latin squares.
Efficient algorithms for mining frequent itemsets are crucial for mining association rules as well as for many other data mining tasks. In this paper, we integrate the merits of the matrix algorithm and Index-BitTableFI algorithm, and design an efficient algorithm for mining the frequent itemsets. In the new algorithm, it may be generated directly some frequent itemsets which do not generate in the...
To deal with the risk recognition from the complex risk management, a novel risk recognition method was studied through rule extration based on rough set. According to the indiscernible relation in rough set, a formula to compute attribute importance is put forward based on the concept of similar matrix and attribute frequency in the matrix, which is used as heuristic knowledge in deciding the sequence...
Many FPGA implementations for QR decomposition have been studied on small-scale matrix and all of them are presented individually. However to the best of our knowledge, there is no FPGA-based accelerator for large-scale QR decomposition. In this paper, we propose a unified FPGA accelerator structure for large-scale QR decomposition. To exploit the computational potential of FPGA, we introduce a fine-grained...
This paper exploits rotation invariance of matrix pencil based on two parallel uniform linear polarization sensitive arrays, and eigenvalues and the corresponding eigenvectors of the matrix pencil are the rotation matrix and time-space-polarization steering vector of the subarray, respectively. The eigenvalues and steering vector can be used to estimate frequency, two-dimensional angles and polarization...
The problem of direction of arrival (DOA) estimation with a crossed-dipole array is addressed within the quaternionic framework, and a new ESPRIT variant, termed as quaternion-ESPRIT (Q-ESPRIT), is proposed. The proposed algorithm arranges the recorded signals into a quarternion model, and estimates the signal subspace of an array of translational invariance structure via quaternionic low-rank approximation...
A new focusing method for wideband direction-of-arrival (DOA) estimation is proposed. Based on least-square fitting (LSF), the focusing matrix is obtained by jointly exploiting the auto- and cross-correlation information embedded in the array output. Unlike the modified total least-square (MTLS) method, the proposed method does not require any preprocessing for initial values. Numerical results show...
High voltage circuit breaker (HVCB) is one of the most important equipments for controlling and operating in power system. In order to increase the reliability and safety of power system, it is necessary to carry on online monitoring and failure diagnosis on HVCB. However there are many difficulties in HVCB failure diagnosis. Based on fuzzy diagnosis theory, a fault diagnosis model of high voltage...
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