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Recently, we proposed an approach inspired by Sparse Component Analysis for real-time localization of multiple sound sources using a circular microphone array. The method was based on identifying time-frequency zones where only one source is active, reducing the problem to single-source localization for these zones. A histogram of estimated Directions of Arrival (DOAs) was formed and then processed...
The mean squared error performance of a copy weight correlation (CC) based method of angle estimation proposed by Forsythe and Richmond is studied via application of the method of interval error (MIE). It is demonstrated that at low SNRs the CC method leans heavily on the a priori information embedded in the copy weight, but at high SNRs reverts to the Capon algorithm estimate. This prior information...
TheMUSIC-group delay spectrum has been hitherto used for high resolution direction of arrival estimation using a limited number of sensors. In this work we discuss the significance of the MUSIC-group delay spectrum for robust direction of arrival estimation using shrinkage estimators. The MUSIC-group delay spectrum computed using shrinkage estimation of the covariance matrix, is found to be robust...
A SPS (Solar Power Station / Satellite) is a gigantic satellite designed as an electric power plant and transmits the electricity via microwave to a receiving site on the Earth by using a phased array antenna. In Japan, a panel structure SPS was proposed. The panel structure SPS is difficult to maintain flatness of transmission antenna surface. Thus we study on a microwave power beam correction method...
In this paper a method to eliminate the estimation of Direction-of-Arrival (DoA) for an interfering signal is investigated. In order to estimate the DoA, the Multiple Signal Classification (MUSIC) algorithm was used. All the simulations are implemented in Matlab, for different number of elements.
Based on the spatial smoothing technique, two decorrelation schemes are proposed for sparse array to handle the super resolution direction of arrival (DOA) estimation problem of coherent sources when using such an array. The first scheme performs with smaller correlation window but lager number of smoothing time, whereas the second one has the opposite characteristic. The direction finding performances...
In this paper, a new design of Electronically Steerable Parasitic Array Radiator (ESPAR) antennas is proposed for directions of arrival (DoAs) estimation of coherent sources by the well known ESPRIT algorithm. The Spatial Smoothing technique (SS) is adapted to this antennas shape to remove signals' coherence. The excellent performances of the uniform circular geometry are used to ensure accurate DoAs...
A fast and efficient algorithm is proposed to estimate the direction of arrival (DOA) of the signals impinging on an uniformly located linear array. Unlike the classical MUSIC method, it is not needed for the method proposed in this paper to have the number of the signal sources known as a prior knowledge. The proposed method only needs the forward recursions of multistage Wiener filter (MSWF) to...
We propose a new low complexity direction-of-arrival (DOA) estimation method based on sparse variable projection (SVP) optimization. This method estimates an indicative sparse vector that indicates the locations of DOA from each visual sources corresponding to DOA sampling space and is particular useful to simplify the multiple measurement vector (MMV) problem as a single indicative sparse vector...
An accurate direction-of-arrival (DOA) estimation algorithm with sparse sensor array is proposed. By dividing the nonuniform linear sparse array (NLSA) into two uniform linear sparse arrays (ULSA), the subarray response vectors yield a property of rotational invariance in the estimation of rough DOA without ambiguity using the so-called generalized ESPRIT. According to the estimated rough DOA, the...
This paper presents a smart antenna system using a combination of nonconventional least square (NCLS) optimization and direct data domain least square (D3LS) for direction-of-arrival (DOA) estimation and beamforming, respectively. In the proposed system, NCLS optimization is utilized to estimate DOA of incoming signal first. The estimated DOA is then assisted for initial processing of D3LS in beamforming...
This paper presents a Unitary Projection Matrix (UPM) method to reduce the computation cost of Direction-Of-Arrival (DOA) estimation for far-filed narrowband coherent sources. The proposed method requires only two correlation vectors of array observation to the 1st and last sensor, in which the spatial independent additive noise is eliminated effectively. The coherency of sources is decorrelated by...
To distributed sources, the usage of conventional point-source model will cause inaccuracy in the direction-of-arrival (DOA) estimation. Conventional methods for distributed sources usually estimate the DOAs and the distribution parameters with multi-dimensional peak search operations, which will lead to much higher computational complexity than that in the point source model. In this paper, a blind...
A novel bind algorithm is proposed for ranges and direction-of-arrivals (DOAs) estimation of the hybrid narrow-band sources, which contain both the near field sources and the far field ones. To separate them, a two-step algorithm is exploited. In the first step, the far-field sources are identified by exploiting the MUSIC method. After eliminating the far field source components in the auto correlation...
Signal direction-of-arrival (DOA) estimation using an L-shaped array of sensors configured by two uniform linear arrays (ULA) has been an active research topic in array signal processing. A simple but efficient DOA estimation method has recently been proposed by exploiting the L-shape array geometry and the cross-correlation information of sensor data. In this paper, the asymptotic variance of the...
In this paper, we explore the potential of networked microphone arrays for multiple target tracking. Tracking is accomplished by using the direction-of-arrival (DOA) estimates of multiple microphone arrays. Each microphone array obtains the DOA estimates by using the wideband extensions of the multiple signal classification (MUSIC) technique. Based on these DOA estimates, multi target tracking is...
The performance of the smart antennas greatly relies on the efficient estimation of direction of arrival. Therefore, the authors have addressed and analyzed high resolution subspace based algorithms to evaluate the performance for accurate estimation of direction- of- arrival (DOA) of signals impinging on uniform linear array (ULA). Simulation results showed that Matrix Pencil provides better performance...
Direction-of-arrival (DOA) estimation of two targets with a single snapshot plays an important role in many pulsed radar array applications. We consider the case when the targets are spaced by more than the beamwidth of the array. In this case, the conventional beamformer (BF) is able to resolve them, but results in biased DOA estimation due to the leakage effect. We propose computationally simple...
This paper proposes a novel direction-of-arrival estimation method in a general 3-dimensional array configuration for multiple speech signals uttered simultaneously. The method is based on sparseness in the time-frequency representation of speech signal and is applicable to an underdetermined case where the sources outnumber sensors. At first, we introduce a parameterized closed surface to which we...
The performance of DOA estimation with scalar sensor arrays using spatial sparse signal reconstruction (SSR) technique is affected by the grid spacing. In this paper, we formulate the DOA estimation with the acoustic vector sensor (AVS) arrays under SSR framework. A coarse-to-fine DOA estimation algorithm has been developed. The source spatial sparsity and the inter-relations among the manifold matrices...
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