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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...
Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) parameters of the impinging signals. For crossed-dipole linear arrays, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. This problem could be solved by extending the geometry to a two-dimensional (2-D) rectangular array so that both...
In this paper, computationally efficient subspace-based estimators with real-valued implementation are presented by introducing a preprocessing transformation to estimate carrier frequency offset (CFO) for interleaved orthogonal frequency division multiple access (OFDMA) uplink systems. Conventional subspace-based estimators inevitably lead to intensive computational complexity due to calculating...
Two estimation algorithms for the spreading sequence in DSSS signals are proposed. Some of previously proposed algorithms have some drawbacks such as large computational complexity, low estimation accuracy and poor accuracy by increasing the length of spreading sequence period. In this paper by using an initial estimate of chips, we can improve recursively the final decision with low computational...
The Multiple Signal Classification (MUSIC) algorithm is a representative method for the Direction of Arrival (DOA) estimation. However, it has to compute Eigenvalue Decomposition (EVD) and cumulate certain snapshots for once DOA estimation, which is costly in the computation and limits its applications. This paper proposes a Subspace Projection based MUSIC (SP-MUSIC) algorithm. The algorithm avoids...
Motivated by the performance of the direction finding algorithm based on the conjugate gradient (CG) method and the advantages of operating in beamspace, we develop a new beamspace direction finding algorithm, which we refer to as the beamspace conjugate gradient (BS CG) method. The recently developed Krylov subspace-based CG direction finding algorithm utilizes a non-eigenvector basis and yields...
The time-frequency distribution (TFD) method has received a considerable amount of attention in Direction of Arrival (DOA) estimation of multi-senor and time space processing, which lead to improved spatial resolution and source separation performances. Based on the characteristic of the different time-frequency distribution in time-frequency domain, a novel approach of Time-frequency DOA estimation...
When doing parameter estimation, ESPRIT is an often used algorithm. As input, ESPRIT needs the eigenvectors of the signal subspace. These can be generated by an eigenvalue decomposition or by subspace tracking algorithms. In this paper, we demonstrate, that subspace tracking is superior not only regarding computational complexity but also regarding accuracy, which is due to its temporal updating character...
In this work, an adaptive acoustic source tracking algorithm is proposed. It is based on eigenbeams which perform spatial decomposition of the sound field, works in two dimensions for tracking of azimuth and elevation, has low computational complexity, and is robust to noise and room reverberation. The tracking is performed using an adaptive principal component analysis of the particle velocity vector,...
Most of the array signal processing methods for the estimation of the direction of arrival angle estimation (DOA) for multiple incident sources are based on the far-field assumption. When the sources are located close to the antenna array, these methods are no longer valid. In this paper, a new method is presented for the joint range and DOA estimation for multiple near-field sources. The proposed...
This paper presents a variant of the propagator method, known as the modified esprit-like propagator method (MEPM), that suffers no aperture loss and perform with a high resolution while the computational complexity is the same as that of the well-known PMV-ESPRIT. Simulation results verify that the proposed MEPM can provide better performance over the PMV-ESPRIT and total least squares ESPRIT (TLS-ESPRIT)...
The precise partial discharge(PD) locating in power transformer has important significance for the steady and safe operation. The Multiple Signal Classification Method (MUSIC) is an classical algorithom in DOA of ultrasonic array location. However,the estimation of the compelete covariance matrix and the subsequent eigendecomposition are computationally intensive and time consuming. A new fast subspace...
Sequential Monte Carlo based estimators, also known as particle filters (PF), have been widely used in nonlinear and non-Gaussian estimation problems. However, efficient distribution of the limited number of random samples remains a critical issue in design of the sequential Monte Carlo based estimation algorithms. In this work, we derive a modified unscented particle filter based on variance reduction...
In this paper, a method of being modified 2-D DOA estimation is presented. By reconstructing covariance matrix of the received array data, the correlativity of the incident signals is recreased, and mis-division between signal subspace and noise subspace is controlled, therefore the number of estimated signals would be equal to the number of actual incident signals. This method has good performance...
High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint frequency and 2-D DOA estimation problem. We define a novel space-time matrix which includes the information of incident frequencies and 2-D DOAs. The joint frequency and 2-D DOA estimation method used the defined space-time matrix is named...
In this paper, we cope with the problem of pose estimation of a calibrated camera from n 3D-to-2D point correspondences (PnP). In the state of the art, there exists an efficient solution to this problem (EPnP) with linear computational complexity; nevertheless, the solution is obtained as a linear combination of four eigenvectors of a matrix and the linear coefficients are not always straightforward...
In this paper, the problem of estimating the direction of arrival (DOA) in impulsive noise environments is considered. One possible way to model the impulsive noise is to introduce symmetric ??-stable (S??S) distribution. Robust co variation based MUSIC (ROC-MUSIC) and Fractional lower moment based MUSIC (FLOM-MUSIC) can be used to estimate the DOA under these conditions. But those methods require...
The fingerprint quality is considered as a good predictor for fingerprint recognition performance and knowing the fingerprint quality in advance is useful to improve the fingerprint recognition performance. The existing fingerprint quality estimation systems are all designed for minutiae-based fingerprint recognition system. But with the obvious advantage and widespread of ROI-based fingerprint recognition...
OFDM modulation combines advantages of high achievable data rates and relatively easy implementation. However, for proper recovery of input, the OFDM receiver needs accurate channel information. Most algorithms proposed in literature perform channel estimation in time domain which increases computational complexity in multi-access situations where the user is only interested in part of the spectrum...
This paper proposes a computationally efficient spreading-waveform-estimation method for the non-symbol-periodic Direct Sequence Spread Spectrum (DS-SS) signals. The method is a low SNR unconditional maximum likelihood (UML) estimation algorithm. It works under the assumption of uniformly distributed transmission delay, which may cause mismatch in the real-world model. Equivalence exists between the...
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