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This paper researches on millimeter-wave (mm-wave) channel estimation based on interference cancellation (IC) and DOA (Direction of Angles) estimation in hybrid massive MIMO systems. According to the ray-tracing model, the mm-wave channel estimation problem can be solved by converting into the estimation of parameters including the angles of departure (AOD), the angles of arrival (AOA) and the path...
Target tracking is a hot topic for unmanned aerial vehicle surveillance. Recently, the novel random sample consensus (RANSAC) algorithm shows a good tracking performance in dense clutter environment. However, the heavy computational burden limits the usage for unmanned aerial vehicle (UAV). In this paper, a density-based recursive random sample consensus (DBR-RANSAC) algorithm is proposed, which utilizes...
The OTHR (over-the-horizon radar) based tracking methods have a common prerequisite that the virtual ionospheric height, as the key ionosphere state, should be obtained either by ionosondes or external sources. However, ionosondes can not be deployed arbitrarily and external sources may not be always available, which results in the situation that the ionosphere state is unknown. This motivates us...
Because of the wide field of view (FOV) to monitor vessel movements, satellite-based automatic identification system (S-AIS) has been promoted in recent years. However, synchronization is a tough work in S-AIS receiver because of the large Doppler shift and serious signal collision resulting from simultaneous transmission in the FOV of a satellite. In this paper, we propose a pipelined synchronization...
This paper suggests one method to process fMRI time series based on Bayesian inference for group analysis. The method uses multilevel divided by session, subject and group as pair comparison to reinforce posterior probability in group analysis from single subjects as priors. And also it combines classical statistics, i.e., t-test to obtain voxel activation at subject level as prior for Bayesian inference...
In this paper, we propose a novel distortion calibration algorithm for uniform circular array (UCA) based on its special structure. A near-field calibration antenna, located in the center of circular array, is used to estimate the gain and phase uncertainties of elements. Besides, a single far-field source is used to estimate the direction-of-arrival (DoA) and mutual coupling matrix (MCM). Finally,...
Ground penetrating radar (GPR) technology is one of the main techniques of the underground pipeline detection. We can analyze the information of the underground pipeline effectively and accurately by the ground penetrating radar data. There used to be three kinds of methods to predict pipeline position and diameter by hyperbola: using the method of least square curve fitting, using Hough transform...
Most coherent signal subspace methods (CSM) need singular-value decomposition (SVD) to construct the focusing matrix and eigenvalue decomposition (EVD) when getting noise subspaces. Furthermore, most focusing methods mainly work on ideal antenna element whose radiation pattern is omnidirectional and identical. In this paper, a novel DOA finding method for wideband sources on real antenna array named...
In this paper, the considered system and its filter are geographically separated and connected via one unreliable media link with stochastic packet dropouts. Considering such situation, the filter problem based on multiple buffered measurements is proposed. Through the orthogonality principle, the corresponding optimal filter is derived in the linear-minimum-mean-squared-error sense. The computer...
Falsification of human faces using face photos has been an arising problem for face recognition and verification systems. In this paper, we propose a system to distinguish face photos from true faces by their motion models. In order to enhance the difference between the two classes, we design an enhanced optical flow method which generates a larger difference between the motion model of true faces...
In data grid, co-allocation architecture can be used to enable parallel transferring of data file from multiple replicas which stored in the different grid sites. Some schemes base on co-allocation model were proposed and used to exploit the different transfer rates among various client-server network links and to adapt dynamic rate fluctuations by dividing data into fragment. These schemes showed...
The main challenge in using (PF) to nonlinear state estimation problem is the particle degeneracy. Resampling operation solves degeneracy to some extent, but it results in the phenomenon of sample impoverishment. Therefore, it cannot achieve the satisfactory accuracy generally with certain number particles by using generic PF algorithm because of the serious impoverishment problem. Here we aim for...
An expectation-maximization (EM)-based estimator for doubly selective channel parameterized by basis expansion model (BEM) is proposed, which converts the problem of estimating a multipath channel to parallel channel estimations. The convergence property of the algorithm has been carefully investigated, which shows that global convergence is always guaranteed. A novel initialization strategy is proposed...
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