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The article investigates spatial signal processing in antenna arrays. The main attention is paid to optimization of spatial structure of antenna array to improve interference immunity and information parameters accuracy estimation. On the basis of statistical approximation the optimal spatial structure is estimated and the variance of estimation error is defined. The analysis of estimation-correlation-compensation...
This paper proposes a diffusion proportionate affine projection sign algorithm for distributed estimation of sparse vector over network. The algorithm is derived by minimizing l1-norm intermediate error vector subject to a weighted constraint on the filter coefficients, where the positive definite weighting matrix is designed to accelerate the convergence of the nonzero coefficients for sparse vector...
This paper proposes new variable regularized (VR) partial update (PU) affine projection algorithms (APAs) for distributed estimation over adaptive networks. They extend the conventional diffuse PU-APAs (Diff-PU-APAs) by imposing a regularization parameter to mitigate possible impairments, such as modeling uncertainties and lacking of excitation, and to deal with sparse channel estimation problems...
The detection performance of a passive radar systems is generally determined by the received reference and surveillance signals purity. In recent times a number of interference cancellation techniques have been researched to deal with the disturbances on the surveillance channel. The variety of different methods operate in the space, time and frequency domains with having different implementations...
We tackle the multi-view image rectification problem by exploiting inter- and intra-disparity constraints. The inter-disparity consistency constraint encourages uniform disparity values for all pairs of neighboring frames, e.g., a 3D point should give the same disparity value for all pairs of stereo images. In addition, the intra-disparity consistency constraint keeps the original shape of the image...
Device localization is a highly important functionality for a range of applications. It is particularly beneficial in mmWave networks, where it can be used to reduce the beam training overhead and anticipate handovers between access points. In this paper, we present JADE, an algorithm that estimates the location of a mobile user in an indoor space without any knowledge about the surrounding environment...
The estimation of sparse vectors is an important problem in digital signal processing. Recently, efficient iterative algorithms based on the so-called linearized Bregman iterations have been proposed, combining excellent estimation performance with low implementation complexity. Unfortunately, these algorithms typically use large numerical values, complicating fixed point implementations. To overcome...
Traditional errors-in-variables (EIV) models are widely adopted in applied sciences. In practice, some of the columns of the coefficient matrix in EIV models may be known exactly. EIV models with exactly known columns are called mixed EIV (MEIV) models. Similar to EIV models, the MEIV models can be highly biased by gross error. This paper focuses on robust estimation in MEIV models. A new class of...
This paper considers the channel estimation (CE) and multi-user detection (MUD) problems in cloud radio access network (C-RAN). Assuming that active users are sparse in the network, we solve CE and MUD problems with compressed sensing (CS) technology to greatly reduce the long identification pilot overhead. A mixed ℓ2.1-regularization functional for extended sparse group-sparsity recovery is proposed...
MUSIC algorithm is one of the most widely known and used signal source estimation techniques. A presented paper deal with an experiment of direction of arrival (DOA) estimation of signal sources using two subarrays without coherency or with rough synchronization. The performance of DOA estimation improves with increasing the number of elements of antenna array. In this case, a practical measurement...
This work presents an algorithm to improve the estimation of the position in indoor environments when using an Ultrasonic Local Positioning System (ULPS). This system is composed of several beacons, with an encoded transmission based on 255-bits Kasami sequences and a BPSK modulation. The received ultrasonic signals are processed to determine the time of arrival (ToA) for every beacon. The differences...
The results of the statistical estimation of the phase modulated signal parameters in white Gaussian noise are given. Measurable functions of the complete sufficient statistics for the phase parameters' estimates under the conditions of a priori uncertainty of the signal amplitude and noise variance were found. The simulation results of the demodulation process using LabVIEW software environment and...
The problem of modeling of the integrated system of monitoring of the sea water area ensuring safety of navigation is considered. The model of monitoring system is developed as the design automation system and efficiency estimation system of hydroacoustic means of underwater observation and also as the decision-making support system of controlling the observation means.
Fast error concealment algorithms play an important role in image and video signal processing. Within this paper, a novel and highly accelerated Frequency Selective Extrapolation adaption is introduced for rapid image error concealment. The state-of-the-art complex-valued Frequency Selective Extrapolation runs with fixed parameters, e.g., a constant number of iterations, so far. In this paper, the...
In this work, we propose a framework which separates multi-emitter signals arriving to uniform linear antenna receiver system. Proposed model uses a combination of variational mode decomposition (VMD) and space alternating expectation maximization (SAGE) algorithms. Former one separates emitter signals and estimates their frequencies while in the second part channel parameters (relative phases, angle...
Electrical harmonic is an important issue affecting power quality of electrical systems. Estimation of power harmonics are essential to design filters to be utilized in electrical power systems for reducing harmonics and their effects on the electrical power systems. In this study, a harmonic estimator based on differential evolution algorithm is proposed for harmonic estimation problems shown in...
For the large-scale wireless mobile networks, the topology or global state information directly affects congestion control, traffic control, quality of service and so on. Due to the dynamic change of the opportunistic network structure, the node can not perceive the current state of the network, therefore, it is important to improve the routing quality by designing a topology aware algorithm that...
A novel methodology is implemented for detection of coherent signals in direction of arrival estimation of linear arrays. The available techniques for DoA estimation of incoherent signal is modified by introducing spatial smoothing technique. This spatial smoothing technique is further used to de-correlate the signals before applying MUSIC algorithm for DoA estimation. DoA estimation is also performed...
This paper proposes a method for speeding up the estimation of the absolute value of largest eigenvalue of an asymmetric tridiagonal matrix based on Power method. An error analysis shows that the proposed method provide errors no greater than the usual Power method. The proposed method involves the computation of the tridiagonal matrix square under analysis, which is performed through a proposed fast...
In this paper, we address the direction-of-arrival (DOA) estimation problem of hybrid completely polarized (CP) and partially polarized (PP) source signals with arbitrary polarimetric arrays. Firstly, oblique projection filtering operators, which are insensitive to the state of polarization of signals, are used to separate potential source signals in the spatial domain. Secondly, the DOA estimates...
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