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Temperature has a considerable influence on the shallow water. Due to important economic value and relation to human activity, the on-line and real-time water temperature monitoring is of great scientific and practical significance. This paper has performed an experiment of a high frequency acoustic temperature measurement. Reciprocal sound transmission and the signal cross-correlation method were...
A novel two dimension direction-of-arrival (2D-DOA) estimation method for L-shaped array using atomic norm minimization based on the cross-correlation matrix is proposed in this paper. We first reconstruct the autocorrelation matrix of observed signals in the Toeplitz structure by cross-correlation matrix-based atomic norm minimization (CCMANM), and then employ the reconstructed autocorrelation matrix...
The downlink positioning method specified by 3GPP is a part of LTE location service. The method utilizes the time difference of Positioning Reference Signal (PRS) for ranging, therefore time delay estimation of PRS is a fundamental question in the method. A conventional algorithm relies on time correlation however faces challenges in multipath channel. For OFDM signal, Multiple Signal Classification...
Geometry-based stochastic model (GBSM) of multiple input multiple output (MIMO) channel describes the channel impulse response (CIR) in the sense of rays and clusters, which obey the empirical distributions. Thus, the correlation between MIMO sub-channels is not explicitly defined, which makes it difficult for GBSM to predict channel capacity accurately. Facing the increased antenna number of massive...
Research on evaluation for overload probability, probability-limit and static safety of voltage based on stochastic trend, can be used to discover vulnerabilities in the power grid. Wind power output, load changes, forced outages and generator fault lines and other uncertainties were considered. Random disturbances of large-scale new energy generation accessing the grid concerned, linear Monte Carlo...
In order to study coastal intensive large-scale wind farm output characteristics and interrelatedness, take large-scale wind farm in coastal Jiangsu as an example, based on the measured wind power output data in EMS systems correlation between wind farms and the active output probability distributions, the monthly maximum output were analyzed. Studied the active output fluctuations of wind farms and...
Gate formation for 28nm node is LELE (2 times Litho, 2 times etch process) approach, which is different from traditional poly LE (Litho-Etch) process. Poly line and poly LEC (line end cut) formed during the second Litho etch process. It is great challenge to get appropriate LEC CD (Critical Dimension), meanwhile balance LEC position to achieve residue & pitting defect free. This paper introduces...
In social network analysis, correlation estimation is a critical part for various applications. With the prevalence of location-based services, geographic information is incorporated as a new perspective to refer the interpersonal correlation. In this paper, we propose a novel multi-scale multi-feature collaborative learning model for robust location-based correlation estimation. Geographic attributes...
In social network, correlation estimation is a critical problem with promising application prospect. Numerical records of the interaction can serve as informative reflections of the correlation between users. However, due to the noise during data acquisition and storage as well as the privacy concern, the interaction data are usually partially observed. Moreover, even if the complete interaction is...
Existing channel modeling method may not apply well to the high mobility communication scenarios, such as the high speed railway communications, as they implicitly overlook the dynamic of ambient objects, or, the variation of local scattering caused by the very fast changing of mobile station locations. In this paper, we propose an HSR fading channel model by characterizing the time-dependent evolution...
Until now, the canonical correlation analysis (CCA)-based method has been most widely applied to steady-state visual evoked potential (SSVEP). Artificial sine-cosine signals are used as the original references in the CCA method, which could hardly reflect the real SSVEP features buried in electroencephalogram (EEG). In this study, we use principal component analysis (PCA) to extract EEG features multivariate...
Most of the existed methods for steady-state visual evoked potential (SSVEP) recognition require a specified time window length (TWL) to estimate the dominant frequency components in EEG signals. Typically, the TWL is manually predetermined and then fixed during running of the SSVEP-based brain-computer interface (BCI), which may not give the optimal information transfer rate (ITR). This study proposes...
Currently, main problem in special support equipment of our army is less links among the various equipment, whose special resources are too many and whose models and specifications are complex, so that interoperability is not high which leading to poorly utilize. To solve this problem of support equipment, this article creates a series of functional modules in modularization theory. Through equipping...
Taking the NCEP/NCAR monthly reanalysis data from 1948 to 2005 as the observation field, the simulation abilities of the BCC_CSM model for height field over China, the western Pacific subtropical highs, the South Asia high, and the East Asia major trough are tested by using the standardized Root Mean Square Error (RMSE), correlation coefficient, kriging interpolation methods. Results show that: (1)...
Distribution network power loss exceeds half of the total loss of the power system. It is significant to improve on economic benefit of the operation of the distribution network. According to the problem of the economic operation of distribution network, this paper proposes an economic evaluation model based on the grey relation method. Considering the scope and the content of the economic operation,...
This paper proposes a novel codebook for multiuser multiple-input multiple-output systems under spatially correlated channels. Existing codebooks designed for correlated channels either require accurate channel statistics which is not favorable for practical systems, or only perform well in highly correlated channels. In this paper, we first analyze the per-user rate loss led by using DFT codebook,...
There is a very important class of applications which is named Many-Task Computing (MTC). For a lot of MTC applications, a large number of independent tasks which differ significantly on task complexities will be generated. This brings a great challenge for grids to achieve a high performance for such MTC applications. In this paper, we describe the TCE algorithm, a scheduling algorithm based on Task...
Because of belonging to the information of system condition, the noise degree of signal could be utilized to express the difference of system condition. After obtaining the symbolic probability series by the signal time series, the symbol-chaos characteristics, which could identify the noise degree of signal, are constructed with the four parameters that are symbolic Shannon entropy, symbolic Kolmogorov...
Integrated sidelobe level(ISL) criterion and the maximal sidelobe level(MSL) criterion are used to design frequency-hopping waveforms based on ambiguity functions respectively in this paper. Some simulation results are given and analyzed. The performance of the proposed algorithm is validated by numerical simulations.
Polarized antennas equipped in multi-input multioutput (MIMO) systems are anticipated as space-effective alternatives. In this situation, the impacts of polarization configurations on fading correlation should be considered. A novel model with flexible polarization orientation is proposed for calculating spatial correlation. The model demonstrates that introducing of polarization reduces the spatial...
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