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This paper presents a real-valued sparse representation method for direction of arrival (DOA) estimation with uniform linear arrays (ULAs). Applying a unitary transformation, we convert the complex optimization problem into a real one, thereby reducing the computational complexity at least by a factor of four without sacrificing its accuracy. Simulation results demonstrate the effectiveness of the...
Beamspace ESPRIT with pseudo-noise resampling is proposed which has improved performance as compared to original Beamspace ESPRIT. The resampling of Beamspace ESPRIT via pseudo-randomly generated noise is used to form estimator bank. Censored selection of the results of pseudo-randomly resampled Beamspace ESPRIT estimators is exploited based on the local performance test and reliability test.
In this paper, the usage of artificial neural networks (ANN) for the estimation of the direction-of-arrival (DOA) in an OFDM-based MIMO configuration radar is explored. For the extension of its range-Doppler estimation functionality, a third dimension of estimation, namely the position of objects in the azimuth plane is considered. Popular subspace-based DOA methods such as MUSIC have been explored,...
Sparse signal recovery is often performed over an estimation grid whose choice affects the recovery performance. The grid mismatch effect is posed as a total least squares problem based on the errors in variables (EIV) model. An existing approach to model the mismatch namely the interpolation approach is interpreted as an EIV model. The grid mismatch is solved by an alternating descent algorithm,...
This paper considers the problem of tracking multiple wideband acoustic sources in three dimensional (3-D) space using a distributed acoustic vector sensor (AVS) array. Least square approaches have been proposed to fuse the DOA measurements and estimate the 3-D position. However, the performance of position estimation can be seriously degraded by inaccurate DOA estimates, and also multiple source...
This paper reports an adaptation of the GM-PHD filter for ground moving target tracking. In particular, a technique for modeling the measurement covariance matrix adaptively based on the signal power of each detection is investigated. This technique is compared to the standard method of using a fixed covariance matrix both by simulation and experimental data. Notably, the analysis of the error distribution...
This paper presents an exact solution of a specific Direction Of Arrival (DOA) estimation problem which is consistent with a proposed sufficient condition. Additionally, the solution in each dimension can be obtained separately. An experiment shows that the proposed method can estimate a DOA solution immediately and more efficiently.
Tracking the direction of arrival (DOA) of an acoustic source in an impulsive noise environment is a challenging problem due to the non-Gaussian characteristic of the noise process. In this paper, a particle filtering (PF) with fractional lower order moment (FLOM) likelihood model is developed to solve this problem. A constant velocity model is employed to model source dynamics and alpha-stable processes...
Direction-of-arrival (DOA) estimation is an important function in array signal processing. Many DOA estimation algorithms have been proposed catering for different situations and accuracies requirements. Nevertheless, most of these algorithms were designed based on the assumption of using ideal array sensors such as antennas with no interaction between them. A very common type of DOA estimation algorithms...
In this paper, azimuth directions-of-arrival (DOAs) are estimated from an arbitrary array without the requirement of entire array geometry information. Impinging directions are estimated by only exploiting the corresponding displacements between the different subarrays. The performance of generalized ESPRIT is improved by including the orthogonal property of signal and noise subspaces, and alternate...
In this paper we derive a new method of DOA estimation for ULA configurations using the annihilating filter technique. The new method is non-data-aided (NDA) and does not therefore impinge on the whole throughput of the system. The noise components are assumed spatially and temporally white. The transmitted signals are also assumed to be temporally and spatially white (across the transmitting sources)...
Source localization for wideband signals using near-field acoustic sensor networks has been drawing a lot of research interest recently. In this paper, we would like to tackle the source localization problem based on the realistic assumption where the sources are corrupted by spatially-non-white noise. We explore the respective limitations of our recently proposed algorithm, namely EM source localization...
An accurate and real-time implementable location technique for wireless sensor radio is in demand for many applications. Most of the works on wireless sensor location estimation uses received signal strength indicator (RSSI), direction of arrival (DOA) estimation, or time of arrival (TOA) estimation techniques. A precise DOA and TOA measurement results in more accurate location estimation. In this...
Direction of Arrival (DOA) is one of the positioning techniques that can be used to localize the position of sensor nodes in Wireless Sensor Networks (WSNs). This paper presents a comparison between linear and circular array geometry in DOA estimation using MUltiple SIgnal Classification (MUSIC). A full analytical model for each geometry is developed and a comparative study of the performance of both...
Direction-of-arrival (DoA)-based localization is a suitable approach for estimating the position of primary users in cognitive radio networks, as it does not require knowledge of transmission power or propagation channel. In this paper we consider a scenario where secondary users obtain DoA estimates by multiple antennas or virtual antenna arrays. We express the Cramer Rao bound of the localization...
A comparison analysis between two different types of antenna arrays in direction-of-arrival (DOA) estimation is presented. This study was undertaken to point out any difference in the process of DOA estimation between isotropic and directional antenna array. To the best of our knowledge, there is no previous work that analysed the DOA estimation between these two antenna arrays. The approach taken...
In the context of wideband Multiple-Input Multiple-Output (MIMO) radar, this paper presents a waveform design technique using multiple frequency bands, satisfying a low Peak-to-Average Power Ratio (PAPR) constraint. We then adapt a Direction-of-Arrival (DOA) estimation technique, known as TOPS (Test of Orthogonality of Projected Subspaces) in the literature, to the received signals in a MIMO radar...
This paper presents an experimental evaluation of a novel and innovative sequential beamspace (SBS) smart antenna system. The system is capable of accurate direction of arrival (DOA) estimation in beamspace and efficient element space beamforming. Moreover, the robust functionality of such a system includes high resolution radio frequency (RF) emitter DOA estimation and beamforming in a noisy environment...
This work proposes a new direction-of-arrival (DOA) estimation algorithm for directional antenna arrays. Most of the existing DOA algorithms are difficult to work with directional antenna arrays due to the characters of directional elements and thus proper modification is required. The proposed algorithm is based on Capon algorithm through the introduction of a new optimisation problem, which aims...
A fast direction of arrival (DOA) estimation method is presented in this paper for monostatic multiple-input multiple-output (MIMO) radar with arbitrary array configuration. In order to avoid spectral peaks search in the multiple signal classification (MUSIC) algorithm and reduce the computational complexity, the proposed method uses manifold separation and polynomial rooting technique to estimate...
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