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Source parameter estimation is an appealing research topic over decades in the field of array signal processing. The estimation performance of multidimensional parameter directly influences the effect of subsequent procedures, such as signal detection and filtering. In this paper we give a brief review of direction of arrival (DOA) and polarization parameter estimation methods. Based on a sensor array...
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...
To address the problem of direction of arrival (DOA) of fast moving target in accelerated scenario, a new DOA estimation algorithm based on the generalized almost-cyclostationary processes analysis is proposed. First, the property of fast moving target signal with a constant relative acceleration is discussed. We reveal that the received signal arises cyclostationarity even for the accelerated target...
Due to the sparsity that contained in underwater acoustic (UWA) channels, in recent years tremendous attention has been drawn in designing sparse channel estimation algorithms for improve the performance of channel equalizer, which is driven by channel estimator. However, experimental evaluation and comparison is limited regarding enhancing the performance of different norm constraint sparse channel...
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...
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...
This paper proposes a novel algorithm for the joint estimation of DOA, range and frequency of mixed far-field and near-field sources. Based on the second order statistics of a symmetric uniform linear array, this method constructs two correlation matrices in the first step to obtain the estimates of DOA and frequency parameters. In the second step, two more correlation matrices are derived. The range...
This letter discusses the problem of Direction of Arrival (DOA) estimation for two-dimension antenna array, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one dimension search, can avoid the high computational cost within two-dimension MUSIC (2D-MUSIC) algorithm. We illustrate that the algorithm has very close performance...
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.
A maximum correntropy criterion (MCC) algorithm with a flexible zero attractor is proposed, whose estimation performance is investigated for estimating a multi-path channel in mixed Gaussian environment. The proposed algorithm is denoted as flexible zero attraction MCC (FZA-MCC), in which the flexible zero attractor (FZA) is implemented by an approximation parameter adjustment function. The estimation...
Various channels can be denoted by sparse channels and many algorithms have been proposed to exploit their sparsity. In this paper, we propose a mixed algorithm based on Greedy and LS algorithms for sparse channel estimation. Analyses of the proposed and commonly used algorithms in terms of performance and complexity are performed considering the channel's sparsity, the length of training sequence...
The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but also cause dangerous situations such as heating and burning. For this reason, the estimation of the amplitude and phase of harmonics plays an important role in the design of electrical...
Phaser measurement unit (PMU) is one of the key components in present wide area monitoring, protection, and control systems (wAMPAC). There are delays in PMU measurements due to the delay in PMU signal acquisition that may affect the performance of applications in real time in the grid. In this paper, in order to mitigate the effect of signal acquisition delays, a predicting model of PMU is proposed...
This paper describes an iterative data-driven algorithm for automatically labeling coronary vessel segments in MDCT images. Such techniques are useful for effective presentation and communication of findings on coronary vessel pathology by physicians and computer-assisted diagnosis systems. The experiments are done on the 18 sets of coronary vessel data in the Rotterdam Coronary Artery Algorithm Evaluation...
This paper presents the implementation of the signal processing algorithm used by buoy DIFAR (Directional Frequency Analysis and Recording), that is fully operational on Polish Navy anti-submarine warfare (ASW) helicopters and ships, applied to dipping sonars for detection and tracking of submarines. The development of the DSP algorithms was a part of the modernization of sonars conducted at the Gdansk...
This work presents an embedded computing framework for the analysis and design of large scale algorithms utilized in the estimation of acoustic doubly dispersive, randomly time-variant, underwater communication channels. Channel estimation results are used, in turn, in the proposed framework for the development of efficient high performance algorithms, based on fast Fourier transformations, for the...
This work addresses the problem of estimating the accuracy of a certain class of digital signal processing algorithms, known as linear signal transforms, when implemented on field programmable gate array (FPGA) hardware computational structure (HCS) units. A solution is provided through the formulation of a hardware development framework which uses complex multipliers and complex addition units as...
Pulse photopletysmographic signal (PPG) is modulated by the respiratory rate, so there are some algorithms capable to extract respiratory information from the derived PPG signals, as the Pulse Amplitude Variability (PAV). Previous works have shown that the use of the PPG leads to different results depending on the PPG sensor location (finger and forehead). Therefore, a database recording finger and...
In this paper, we present a time-recursive implementation of a recent hyperparameter-free group-sparse estimation technique. This is achieved by reformulating the original method, termed group-SPICE, as a square-root group-LASSO with a suitable regularization level, for which a time-recursive implementation is derived. Using a proximal gradient step for lowering the computational cost, the proposed...
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