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A passive synthetic array (PSA) using a single moving sensor is formed to estimate direction of arrival (DOA). And the signal model with velocity errors is constructed. By using MUSIC algorithm, the angle estimation performance is analyzed through numerical simulations under different velocity errors. With the increase of velocity error, resolution and accuracy of multi-target angle estimation decline...
The present publication describes a localization concept to determine the 3D Position of passive UHF-RFID transponders. The importance of accurate location information significantly increases with Industry 4.0 in mind. Various applications in production and logistics require the exact location for monitoring the processes and thereby increasing the quality and reliability. The presented system consists...
It is known that there is a contradiction between high-resolution range estimation and velocity estimation due to the influence of pulse repetition frequency (PRF) in traditional phased-array (PA) radar. In this paper, a joint unambiguous angle, range and velocity estimation method is proposed for bi-static multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA). Owing to the...
Speaker localization using microphone arrays is typically based on the expected phase and amplitude differences between microphones as a function of the wave arrival direction. However, in rooms with significant reverberation, the direct sound is contaminated by reflections and localization often fails. Recently, a reverberation-robust localization method was proposed, which uses only the direct-path...
This paper deals with sound source localization and number estimation in indoor environments using a circular microphone array. Multiple sound source localization is achieved by performing single source localization at each selected time-frequency (TF) point of received signals after short-time Fourier transform. A TF point selection method is proposed to reduce the computational time, which depends...
Speaker localization and counting in real-life conditions remains a challenging task. The computational burden, transmission usage and synchronization issues pose several limitations. Moreover, the physical characteristics of real speakers in terms of directivity pattern and orientation, as well as restrictions in the microphone array positioning, which commonly have to be placed close to walls, deteriorate...
In this paper we focus on the problem of estimating the directions of arrival (DOA) of a set of incident plane waves. Unlike many previous works, which assume that the received observations are only affected by additive noise, we consider the setup where some phase noise also corrupts the data (as for example observed in atmospheric sound propagation or underwater acoustics). We propose a new methodology...
This paper is concerned with the development of a computationally efficient optimization algorithm for off-grid direction finding using a sparse observation model. The optimization problem can be formulated as one smooth plus two nonsmooth functions. We propose two accelerated smoothing proximal gradient algorithms. The Nesterov smoothing methodology is utilized to reformulate nonsmooth functions...
Most of multichannel sound source Direction Of Arrival (DOA) estimation algorithms suffer from spatial aliasing problems. The phase differences between a pair of microphones are wrapped beyond the spatial aliasing frequency. A common solution is to adjust the distance between the microphones to obtain a suitable aliasing frequency, and take only the frequency band below the aliasing frequency for...
In this paper, we consider robust direction-of-arrival (DOA) estimation for an array that contains mis-calibrated sensors with unknown gain and phase uncertainties. We develop two robust DOA estimation algorithms based on the maximum correntropy criterion (MCC). In the first algorithm, adaptively optimized weighting factors are obtained and applied to each sensor to effectively mitigate the effect...
Signal processing in spherical harmonic domain has the ability to decouple frequency dependent and location dependent components of the signal received. A method for low dimensional spherical harmonic feature extraction is proposed in this work for DOA estimation in noisy and reverberant environments. The features are extracted using frequency smoothing and a transformation which makes them frequency...
This paper presents an experimental study on a novel technique to blindly estimate the directional properties of room reflections using a spherical microphone array. The algorithm is developed based on a spatial correlation model formulated in the spherical harmonics domain. This model expresses the cross correlation matrix of the recorded soundfield coefficients in terms of direct sound and reflections...
Contactless respiration monitoring using Doppler radar is an important technology for healthcare applications. The radar measures small displacements of the body surface. In this study, we propose a new algorithm to separate multiple targets placed closely together at the same range but at different lateral positions using ultra-wideband array radar and the Capon method. The Capon method, which is...
A two-stage method for off-grid coherent direction-of-arrival (DOA) estimation using atomic norm minimization based on the covariance matrix is proposed in this paper. In the first stage, by vectorizing the covariance matrix, a new off-grid model matched as a linear combination of two dimensional harmonic is presented, where the proposed denoising covariance matrix-based atomic norm minimization (DCMANM)...
In a low angle target parameter estimation scenario, the backscattered signals from targets are distorted by clutter and multipath, which degrades the performance of direction-of-arrival (DOA) estimator significantly. This paper presents a novel method using time reversal (TR) technique and coherent signal-subspace method (CSM) for DOA estimation in a low angle scenario. The TR method exploits target...
This paper proposes two high-resolution Direction-of-Arrival (DOA) estimators using coprime sensor arrays (CSA) processing broadband signals. The product processor estimates the broadband spatial power spectral density (PSD) by averaging narrowband spatial PSD estimates. These narrowband PSD estimates are formed by multiplying one CSA subarray scanned response with the complex conjugate of the other...
In this paper, 3D sound source localization method for simultaneously estimating both direction-of-arrival (DOA) and distance from the microphone array is proposed. For estimating distance, the off-grid problem must be overcome because the range of distance to be considered is quite broad and even not bounded. The proposed method estimates positions based on an extension of the convex clustering method...
In this paper, a new perturbation analysis algorithm for the MUltiple SIgnal Classification (MUSIC) estimator applied to a Hermitian Toeplitz covariance matrix is presented. Inspired by the perspective that the MUSIC algorithm can be recognized as a structured matrix approximation, the perturbation of parameter estimates can be predicted more accurately by seeking the minimum of a Frobenius norm....
One-bit quantization has become an important topic in massive MIMO systems, as it offers low cost and low complexity in the implementation. Techniques to achieve high performance in spite of the coarse quantizers have recently been advanced. In the context of array processing and direction-of-arrival (DOA) estimation also, one bit quantizers have been studied in the past, although not as extensively...
This paper considers the problem of co-array interpolation for direction-of-arrival (DOA) estimation with sparse nonuniform arrays. By utilizing the much longer difference co-array associated with these arrays, it is possible to perform DOA estimation of more sources than sensors. Since the co-array may contain holes (or missing lags), interpolation algorithms have been proposed to fully utilize the...
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