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Since a nested phased array cannot directly estimate the range of targets due to range ambiguity, this paper proposes a nested array with diverse time-delayers for target range and angle estimation. The essence is to construct a new array structure by systematically nesting two uniform linear arrays through diverse time-delays which yields a range-dependent receiving array beampattern. Using second-order...
A sequential Bayesian approach to density evolution for sparse source reconstruction is proposed and analysed which alternatingly solves a generalized LASSO problem and its dual. Waves are observed by a sensor array. The waves are emitted by a spatially-sparse set of sources. A weighted Laplace-like prior is assumed for the sources such that the maximum a posteriori source estimate at the current...
This paper presents an accurate source number detection method for low-cost array system based on nested array and Khatri-Rao product approaches. Source number estimation accuracy can be enhanced by increasing the number of array elements, but it is often limited due to hardware and software cost. The authors have already proposed a low-cost array receiver system using switches which can reduce receiver...
In this paper, we focus on the effective Space-Time Adaptive Processing (STAP) method in nonhomogeneous clutter environment. The nonhomogeneous clutter leads to the lack of sufficient training data for clutter covariance matrix estimation in traditional STAP methods. By utilizing the sparsity of the distribution of clutter in angle-Doppler domain, we build a factor graph model and develop a message...
Direction-of-arrival (DOA) estimation involves the localization of a few sources from a limited number of observations on an array of sensors. Thus, DOA estimation can be formulated as a sparse signal reconstruction problem and solved efficiently with compressive sensing (CS) to achieve high-resolution imaging. Utilizing the dual optimal variables of the CS optimization problem, it is shown with Monte...
This paper describes the development of a portable electronic percussion musical instrument based on movement sensing and signal processing. The system captures the movements from drumsticks and pedals using three-axis accelerometers to translate them into MIDI (Musical Instrument Digital Interface) messages, applying an eigenfilter identification algorithm implemented on a microcontroller. The messages...
Direction finding techniques can be applied to a number of military and civilian systems, such as radar, sonar, and radio communications. It aims at finding the Direction of Arrival of an electromagnetic source for positioning purposes. Direction finding systems can be primarily classified as multiple or single channel. The single-channel solution, investigated herein, is based on a switched antenna...
Single-sensor color cameras, which classically use a color filter array (CFA) to sample RGB channels, have recently been extended to the multispectral domain. To sample more than three wavelength bands, such systems use a multispectral filter array (MSFA) that provides a raw image in which a single channel level is available at each pixel. A demosaicing procedure is then needed to estimate a multispectral...
Future handsets are characterized by their small size which limits the number of antennas and the spacing between them. This paper mainly focuses on Direction-of-Arrival (DOA) estimation in Multiple-Input-Multiple-Output (MIMO) systems based on Compressive Sensing (CS) with practical limitations. The main objective is to strike an optimal balance between complexity and accuracy. A comparison between...
This paper deals with spatio-temporal analysis. The measurement of the directions of arrival using an antennas array is limited by the number of detected sources. In a linear network of M antennas, the maximum number of not correlated signals that can be localized is (M-1), and (2M/3) in case of correlated signals. Thus, the number of antennas must be higher than the number of signals. The spatio-temporal...
Direction of arrival (DOA) estimation has been a vital area of research since few decades due to its importance in applications like wireless communication, navigation radar, sonar etc. The resolution being one of the main challenges in the direction of arrival estimation can be enhanced by array antenna system with reliable signal processing. In this paper we simulate the high resolution subspace...
This paper presents a near field localization system based on a phased array for UHF RFID tags. To estimate angle and range the system uses a two-dimensional MUSIC algorithm. A four channel phased array is used to experimentally verify the estimation of angle and range for an EPC gen2 tag. The system is calibrated for phase offsets introduced by hardware as simulations show the sensitivity to these...
In this work, we consider the multiple sound source location estimation and counting problem in a wireless acoustic sensor network, where each sensor consists of a microphone array. Our method is based on inferring a location estimate for each frequency of the captured signals. A clustering approach-where the number of clusters (i.e., sound sources) is also an unknown parameter-is then employed to...
Multipath propagation is generally considered as an inconvenience in indoor radio frequency positioning systems, causing a degradation of localization accuracy. However, it is possible to exploit spatial information of reflected signals in a multipath assisted indoor positioning system, based on angle of arrival estimation. In order to assess the accuracy of the estimated angles and optimize system...
We propose a Wiener filter design method for collecting target sources on a noisy sports field. Because the noise on a sports field, e.g., cheering from the audience, arrives from the same direction as that of the targeted source, it is difficult to accurately design a Wiener filter by simply using spatial cues. This study focused on a combination of spatial cues and acoustic feature modeling. The...
The spatial localization of passive UHF (ultra-high frequency) radio-frequency identification (RFID) tags is an emerging technology that has reached a high level of interest in industry and research. Most solutions are based on classical receive beamforming techniques, like the angle-of-arrival estimation, that are prone to multipath and deliver low localization accuracies. Therefore, a new approach...
A Wiener filter design method for distributed asynchronous microphones is proposed. The major approach to speech enhancement with a distributed microphone array has been to form directivity after adjusting the sampling rate between asynchronous microphones. However, since the synchronization accuracy varies with the source signal, noise reduction performance is often degraded. To achieve speech enhancement...
It has been proposed to jointly estimate the angles and delays of the paths in a multipath channel. It is interesting to investigate how this improves the precision of angle-of-arrival based localization systems. In this paper, we provide measurement results comparing the performance of ESPRIT-based algorithms for joint estimation to angle- and delay-only estimation in a single and a two-path scenario...
This paper generalizes a new algorithm for Direction of Arrival (DoA) estimation in one and two dimensional (1D and 2D) underwater non-uniform sensor array networks (UWSANs). The extension of augmented matrix approach from the minimum redundancy array (MRA) to the nested array and co-prime array is the main issue addressed in this work. We elaborate numerical examples of how to construct these new...
The array shape distortion effect on soft linear array Direction of Arrival (DOA) estimation performance was studied by theory analysis, simulation and field data process. The steering vector of beamforming algorithm was mismatched when array shape was distorted, then cause the line array direction performance degradation even failure. Our analysis based conventional beamforming(CBF) and adaptive...
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