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This paper deals with the near-field DOA-Matrix method for source localization using a uniform linear array antenna. In general, the mutual coupling between array elements degrades the DOA estimation accuracy. In this paper, we investigate the influence of mutual coupling in source localization using the near-field DOA-Matrix method and the improved method.
Propagation characteristics have locality in a multipath fading environment. The locality is utilized for various techniques using radio wave. Recently, on the other hand, new techniques to break the locality have been studied. In the techniques, received signals at arbitrary locations are estimated from remote receiving points. We present in this paper a new estimation technique of received signals...
The cyclic method performs the direction-of-arrival (DOA) estimation of the desired signals by using cyclic correlations of digital-modulation signals. This paper proposes a cyclic method which uses in-phase combining of multiple cyclic correlations (MCC) and the forward and backward spatial smoothing processing (FB-SSP). Also, the way of reducing the computation load in FB-SSP is provided. Computer...
This paper considers the problem on setting an appropriate value of Lagrange multiplier for lp Compressive Sensing(CS) based DOA estimation. The proposed method utilizes the receiver noise energy information, and updates the Lagrange multiplier at each iteration step. The proposed method successfully estimates DOA peaks without losing desired peaks and suppress fictitious peaks.
An estimation method of a received signal at a remote location has been studied in a 2-dimensional space. The estimation method provided good estimation accuracy. In this paper, we expand the applicable environment to a 3-dimensional space. This paper shows a new estimation method for applying to a 3-dimensional space. In addition, we present the evaluation results of the estimation performance of...
This paper proposes a novel sparsity-aware method that can estimate more sources than the number of sensors available based on the I1 optimization technique. This approach enforces sparsity by £1 penalization and restricting error by £2-norm which enables the reconstruction of sparse signals. By using the Khatri-Rao (KR) subspace approach, we obtain an increase in the degrees of freedom (DOFs). Thus,...
This paper proposes a novel method for two-dimensional (2-D) direction-of-arrival (DOA) estimation of multiple signals employing a sparse L-shaped array structured by a sparse linear array (SLA), a sparse uniform linear array (SULA) and an auxiliary sensor. In the proposed method, the elevation angles are estimated using the SLA and an improved MUSIC method. The azimuth angles are estimated by two...
A novel digital beamforming (DBF) algorithm for spaceborne synthetic aperture radar (SAR) system based on sparse direction-of-arrive (DOA) estimation is presented, which can solve the beam mispointing caused by the terrain height. Compared to the traditional subspace-based algorithms, the approach has no strict requirement for the number of snapshots. Finally, the simulated results validate the proposed...
Khatri-Rao (KR) product increases the number of elements virtually and enables to estimate more incoming waves in direction-of-arrival (DOA) estimation using array antenna. The DOA estimation with the KR scheme, however, makes the estimation difficult because the scheme makes the data coherent. The sparse signal reconstruction is a method realizing the DOA estimation regardless of the signal correlation...
Tumor position estimation is the key to effective radiation therapy. In clinical situations, tumor position is predicted from the breath phase. However, the accuracy of the prediction deteriorates when the breathing type is not known. To solve this problem, in this paper, we propose a new method to separate the signals from the chest and abdomen using ultrawideband (UWB) radar based on an adaptive...
A new RF multiplier integrated planar antenna is proposed to enhance the estimation capability of a phase monopulse direction-of-arrival (DOA) estimation antenna. The conventional monopulse DOA estimation antenna determines the arrival angle using only the amplitude ratio of the sum (Σ) and difference (Δ) of the signals received by two antennas. Hence, it can be used only for the half angle of the...
In this proposed work, a subspace based method of Direction of Arrival (DOA) estimation with Mutual Coupling (MC) compensation and wavelet denoising for Uniform Linear Array (ULA) is addressed. A preprocessing technique of denoising by Wavelet Transform (WT) is accomplished and followed by Mutual Coupling compensation algorithm to improve DOA estimation. A complex symmetric Toeplitz matrix is modeled...
The beamforming technique usually employs multiple sensors or sensor array to enhance receiving signals such that the generalized sidelobe canceler (GSC) is commonly applied for eliminating interfering signals. In this paper, a new direction-of-arrival (DOA) estimation method is studied for the GSC with a moving terminal in the arrayed wireless sensor network. In our simulations, the beamformer's...
The auditory system of humanoid robots has recently gained significant attention in the research community. This system enables interaction with the surroundings via microphone arrays embodied into the robot. Typically, a single array topology is designed which may limit the performance of the auditory system. In a recent paper, a system with two array types has been studied: the first consists of...
In Direction-of-Arrival (DOA) estimation for multiple sources, removal of noisy data points from a set of local DOA estimates increases the resulting estimation accuracy, especially when there are many sources and they have small angular separation. In this work, we propose a post-processing technique for the enhancement of DOA extraction from a set of local estimates using the consistency of these...
Direction-of-arrival (DoA) estimation of a speaker in a room using microphone arrays is an important task in audio signal processing in general, and robot audition in particular. Recently, a novel DoA estimation method developed for spherical arrays presented accurate performance even under real-world conditions with strong reverberation. The method identifies time-frequency bins dominated by the...
This paper introduces a work for localization of underwater acoustic source using two hydrophones. The work is for acoustic pinger-based transit task as a part of 2016 Maritime RobotX Challenge. The designed scheme calculates direction of arrival based on time difference of arrival. Calculation of the direction of arrival is conducted two times at two different positions. With the two direction of...
This paper proposes a novel method for direction-of-arrival (DOA) estimation in azimuth based on spatial sparsity for a wideband acoustic signal using a uniform linear array. The performance of this method is compared with classic subspace based methods such as Root-MUSIC and ESPRIT. In the presence of a multipath reflection, the proposed spatial sparsity based method performs significantly better...
In this paper, we elaborate a reference antenna in terms of direction of arrival (DOA) estimation accuracy to verify its reliability under realistic propagation conditions. Estimation accuracy decreases for the reference antenna due to environmental influences. Our main contribution is modeling such non-anechoic environment in the simulation by considering proximity to earth with surface roughness,...
This paper presents a 3-D search grid allocation algorithm for source localization and beam steering. Data-driven beam-steering systems can benefit from algorithm designs that restrict the processing to a finite set of predefined direction of arrival (DoA) grid points. However, this scenario requires careful definition of the distribution of the search grid points to achieve high spatial filtering...
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