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In this paper, we consider the problem of direction-of-arrival (DoA) estimation using electronically steerable parasitic array radiator (ESPAR) antenna based on compressive sensing. For an ESPAR antenna, the beampatterns and sparse model of DoA estimation problem in terms of overcomplete dictionary and sampling grid is presented. The DoA estimation problem is formulated as a mixed-norm ℓ2,1 minimization...
In this paper, a hierarchical motion estimation (ME) algorithm is proposed for motion-compensated frame interpolation. The algorithm estimates the true motion vector field (MVF) of a video frame from its candidate MVFs, which are the results of full-search block-matching that utilizes multiple block sizes, by maximizing the posterior probability for the true MVF. Owing to probabilistic models utilized...
The realization of early detection of incipient faults makes great sense for the guarantee of system performance and security operation. Therefore, It is necessary to estimate the fault amplitude especially when the system security assessment is the main goal. Regarding the incipient fault with low Fault-Noise-ratio (FNR), in this paper, a practical online fault estimation method is presented for...
The integration of advanced techniques, like smart signal processing algorithms, in conventional antenna array has led to the emergence of more sophisticated antennas which are, today, called smart antennas. This specific kind of antenna array has two basic functions; direction of arrival estimation and beamforming. This paper investigates the performance of Direction-of-Arrival (DoA) estimation of...
This paper proposes a symmetric co-prime parallel array (S-CPPA) configuration for two-dimensional direction of arrival (2-D DOA) estimation. Specifically, the S-CPPA consists of a co-prime pair of symmetric uniform linear subarrays (ULAs). By vectorizing the cross-correlation matrix of the received signals, the sum and difference coarrays perspective is developed to obtain a large number of degrees...
The ambiguity search space has a great effect on integer ambiguity searching efficiency and confirmation. In the case of high ambiguity dimension, the search space is determined when the ambiguity dimension is large. The conventional method is prone to the ambiguity fixed failure. And the actual ambiguity group number and the expected value of a large deviation by the conservative method, resulting...
Human body estimation is one of the active research fields in computer vision. It is widely used in human-computer interaction, pattern recognition, intelligent monitoring system and human behavior detection. A single depth camera has a limited range of observations thus can only estimate the human joint position which is in its field of view. To track human motion in a large area, a camera network...
Big GPS data from the moving vehicles allow understanding the transportation systems in more details and at a vehicle level. While only depending on the trajectory and speed data from probe vehicles cannot estimate the traffic states (vehicle densities etc.) in real-time with the classical filtering methods, such as particular filtering (PF) and extended Kalman filtering (EKF), because the boundary...
The relative position detection sensor can detect the tooth-slot structure of long stator track and generate periodic sinusoid signals. A signal process algorithm based on KF-UKF and a state space model for the sensor are proposed in this paper, which can estimate the position and speed of maglev trains, even when lots of Gaussian noises exits. Actual comparison experiments and numerical simulations...
In this paper, a novel trace norm minimization optimization method for Direction of arrival (DOA) estimation is proposed under array element failure case. In the proposed method, we design a selection matrix according to the positions of failed elements firstly. Utilizing low rank structure of the covariance matrix and covariance fitting criteria, a convex optimization problem is proposed to reconstruct...
Targets number estimation is an important part to the resolution of unresolved targets. Based on Gerschgorin disks estimation (GDE), we propose a method to estimate unresolved targets number with a single snapshot. The proposed method consists of the virtual image array spatial smoothing (VIASS) and improved Gerschgorin disks estimation (IGDE). A full rank covariance matrix can be obtained while avoiding...
The accuracy of DOA estimation is affected by the wave velocity, which is always difficult to be obtained accurately. This paper proposes a velocity independent MUSIC (VI-MUSIC) algorithm by using the L-shaped array to eliminate the effect of using imprecise wave velocity. This simulation results show that that the proposed algorithm can achieve more accuracy than the existing DOA methods under the...
The robustness of adaptive beamforming is relate to the input signal-to-noise ratio (SNR). In order to further improve the performance of input SNR estimation, a modified method of input SNR estimation for robust adaptive beamforming is proposed. Comparatively accurate value of the input SNR can be obtained by the proposed method, especially when the input SNR exceeds 0 dB. When the proposed method...
Non-linear methods are usually used to analyze and process random sequences with outliers or in presence of impulsive noise. One of these methods is based on order statistics, which includes rank information by increasing the problem size. In this article we use a rank one quadratic measurement model based on sketches and apply it to order statistics. We introduce a method to estimate the correlation...
Most of real-life signals are nonGaussian, therefore the linear parametrization/modeling methods, suitable for Gaussian signals are neither adequate nor optimal. Using a nonlinear approach, we can significantly improve filtering results. However, the price that has to be paid is the complexity of the nonlinear treatment. In this paper we consider the nonlinear Schurtype orthogonal transformations...
Two-dimensional zero-attraction projection (2DZAP) algorithm for single snapshot direction of arrival (DOA) estimation is proposed in this paper. Compared with the traditional DOA estimation, the proposed 2D-ZAP algorithm can estimate DOA exactly by ℓ-norm with the same number of sensors, although each sensor samples the signal only one time. In addition, 2D-ZAP algorithm can reduce the noise interference...
We present nonlinear Schur-type orthogonal representations of nonlinear filters of the Volterra-Wiener class for higher-order and non-Gaussian stochastic processes, and propose efficient and numerically attractive solutions of the orthogonal transformations (innovations, stochastic modeling) for this class of processes.
This paper proposes an LMI problem for consistently estimating Kalman gain K and the covariance of the innovations process Ωe. In the previous papers, the problem of estimating K and Ωe consistently is formulated as a nonlinear optimization problem. It is shown that the problem can be reformulated as an LMI problem by extending the variables and that the solution gives consistent estimates. It is...
The Frisch-Waugh-Lovell (FWL) Recursive Least Squares (RLS) algorithm has been recently proposed as an RLS algorithm with lower computational cost and better numerical properties. We propose a VHDL implementation that has been successfully implemented on a Xilinx Virtex-7 FPGA. The FWL RLS algorithm has a complexity of L2 + O(L) products, instead of 1.5L2 O(L) as in conventional RLS algorithms. Because...
Nowadays, indoor localization systems gain more and more attention, as demand for the services employing data on the indoor position of the objects and people is growing. There are many techniques used for position calculation. The most popular rely on measurements of radio wave propagation times. Most of the systems' architectures consist of localized tags and fixed-positioned anchor nodes. Knowledge...
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