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Precise tracking of frequency is essential for accurate phasor estimation at off nominal frequencies. In this paper, a simple approach for real time frequency estimation involving interpolation of DFT coefficients corresponding to fundamental and two adjacent bins is presented. In particular, quadratic interpolation method is adopted to estimate the frequency. The quadratic interpolation formulation...
Classic Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) is limited to an arbitrary array for the Direction-of-Arrival (DoA) estimation because shift invariance is a prerequisite. In this paper, an extended ESPRIT algorithm is newly proposed for such an array with an additional compensation angle input. First, an angle-dependent unitary transformation is applied to the...
A new parameters estimation approach for mixed sources is proposed in this paper, which is under the sparse signal reconstruction framework. By reconstructing of covariance matrix, directions of arrival (DOAs) in the far-field part were estimated with an l1-svd-like method directly. Then the subspace difference method was adopted to obtain the near-field covariance matrix, and the relative DOAs can...
In this paper, we consider the problem of estimating the principal subspace of data in decentralized sensing systems with resource constraints, where the sensors only transmit a single bit to the fusion center to minimize communication costs. In particular, the data covariance matrix is modeled as a low-rank Toeplitz positive semidefinite (PSD) matrix, which arises in applications such as array signal...
While most literature in compressive sensing mostly concentrates on recovering a sparse signal from a reduced number of measurements, parameter estimation problems have recently been studied under this acquisition framework. In this paper, we focus on the problem of direction-of-arrival (DOA) estimation from compressive measurements taken at each antenna in a receiver array. In contrast with the common...
Fast and accurate respiratory rate (RR) estimation from photoplethysmography (PPG) signal is still a challenging problem. In this paper, we propose a real-time algorithm for RR estimation from PPG signal using sparse signal reconstruction (SSR) based on orthogonal matching pursuit (OMP). This algorithm greatly reduces the computational complexity of the original sparse signal reconstruction and respiratory...
Background subtraction is a typical topic in the domain of video processing. In this paper, we propose to cope with background subtraction for separating moving objects from background even cameras are not fixed via modified Bayesian low-rank analysis. Particularly, the hierarchical Bayesian model is proposed for low-rank estimation where the perspective projection is exploited to compensate the camera...
A low computation complexity algorithm for single source three dimensional (3-D) localization of multiple-input multiple-output (MIMO) radar with uniform circular transmit array is presented in this letter. The direction of departure (DOD) and the direction of arrival (DOA) are estimated respectively. Based on the geometry of MIMO radar, the 3-D coordinates of target are calculated. The proposed algorithm...
Graphs are fundamental mathematical structures used in various fields to represent data, signals and processes. This paper proposes a novel framework for learning graphs from data. The proposed framework (i) poses the graph learning problem as estimation of generalized graph Laplacian matrices and (ii) develops an efficient algorithm. Under specific statistical assumptions, the proposed formulation...
Source localization is among the most fundamental problems in statistical signal processing. Methods which rely on the orthogonality of the signal and noise subspaces, such as Pisarenko's method, MUSIC, and root-MUSIC are some of the most widely used algorithms to solve this problem. As a common feature, these methods require both a-priori knowledge of the number of sources, and an estimate of the...
A possible variant of the signal processing for detection of weak pulsar signals is presented in this paper. The signal processing incudes three basic stages: epoch folding, moving average filter with a jumping window and adaptive signal detection. The signal processing proposed in the paper was verified with real experimental signal records from pulsar B0329+54 by the Westerbork Synthesis Radio Telescope...
In this paper, a novel wideband spectrum sensing algorithm based on Compressive Sensing (CS) and reconstruction of second order signal statistics from covariance matrix of the acquired samples for Cognitive Radio (CR) systems is presented. This allows cognitive users to sense the spectrum without apriori knowledge of signal characteristics in the radio environment by minimizing the amount of samples...
A novel source signal preprocessing method and channel identification algorithm for blind separation were proposed in this paper. In this method, source signals were second-order cyclostationary(SoC) after preprocessing, and this feature was helpful for identifying channel and separating source signals effectively in receiving terminal. We call it pPSoCBSS which is the abbreviation for preprocessing...
Collective Detection (CD) is an interesting technique for acquiring highly attenuated satellites signals in harsh environment. The idea of this approach is to process all signals in view collectively to take advantage of the spatial correlation between GNSS signals as vector acquisition. In this way, the acquisition of weak signals will be facilitated by the presence of stronger ones. Increasing the...
In this paper, a previously proposed pothole detection algorithm is improved in order to increase its performance in terms of speed and detection rate and to evaluate the performance. The algorithm was implemented for the TMS320C6678 SoC Digital Signal Processor (DSP). Potholes can be detected by comparing the disparity values of the scene to that of the disparity of the road surface if known. In...
Automatic modulation recognition has been a popular subject of research over the last 20 years, particularly because of the signal processing capabilities of software defined radio systems. Literature discussing aspects of modulation recognition usually concentrates on signal features, probability density functions, estimation of signal-to-noise ratio (SNR), or classification methods. Few papers actually...
Fractal dimension is a very useful technique to estimate surface roughness of digital images; for this estimation many approaches have been implemented. Among them differential box counting mechanism are most popular and commonly used technique for computation of FD of gray scale images. This article presents an improved version of differential box counting method for improvement of accuracy in terms...
LFM signal is widely used in the domain of radar, sonar and communication. Both reliability and real-time is important for parameter estimation. The Fractional Fourier Transform exists problem of large calculation and bad real-time performance. To solve the problem, we use the Energy Barycenter Correction Method based on Nuttall window, combining with the idea of descending dimension. This method...
The paper proposes a robust weighted intersection algorithm for target localization using AOA measurement (RWIAOA), RWIAOA algorithm mitigates the impact of singular bearing line intersection on AOA positioning algorithm based on weighted intersection. The algorithm proposed in this paper constructs corresponding bearing line and acquires the intersections of all bearing lines according to the AOA...
For the 2D radar system, in order to improve the performance of target plots, a new algorithm based on geometric center and amplitudes of measurements was proposed, aimed at that the traditional plots centroid algorithm does not use the amplitude information or over-uses it. The proposed algorithm can reduce the weights of the measurements which are far away from the geometric centre, so as to obtain...
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