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Three kinds of direction-of-arrival (DOA) estimation methods based on acoustic vector sensor (AVS) array are studied in this paper. The detection and DOA estimation performances are analyzed by computer simulation, and the results show that the AVS array cross-spectrum estimation method is better than the AVS array beamforming and the AVS array average acoustic intensity method, especially under low...
This paper presents a channel estimation algorithm for flat-fading correlated MIMO systems with Uniform Linear Arrays (ULAs) configured on dual side by exploiting both pilot and data. In sparse multi-path components cases, Direction of Arrivals (DOAs), Direction of Departures (DODs) and path fading coefficients of propagation path can parameterize the channel matrix of flat-fading MIMO systems. By...
This paper presents an improved speaker localization method based on the generalized cross-correlation (GCC) method weighted by the phase transform (PHAT) for binaural robot audition. The problem with the conventional direction-of-arrival (DOA) estimation based on the GCC-PHAT method is a multipath interference whereby a sound wave travels to microphones via the front-head path and the back-head path...
Linear frequency modulation (LFM) signals are widely used in information systems. However, using traditional array signal process couldn't commendably estimate DOA of LFM signal, because which is a non-stationary signal. In this paper, the proposed method firstly applied the fractional Fourier Transform (FRFT) to construct the LFM signals array model, in which time-variant steering vector is changed...
Support vector machine(SVM) has gained good performance in classification. We treat the DOA estimation problem as a multi-class classification problem, and solve it by SVM. Train samples generated from array output data with known directions are used to train the SVM and construct classifiers, and then the classifiers will evaluate the test sample generated from unknown direction and derive the final...
Direction-of-arrival estimation is one of the most important issues in the signal processing field. Support vector machines have gained more and more attention in the DOA estimation in the recent ten years. Most researchers deal with the DOA estimation as a multiclass classification problem, and some approach have been proposed to solve the multiclass classification problem. Although the support vector...
In this paper, a multi-DSP parallel system based on ADSP-TS201 is designed, and a method of wideband minimum variance distortionless response (MVDR) beamforming implemented on the parallel system is presented, which is based on incoherent signal subspace processing, to solve the problem of direction of arrival (DOA) estimation for wideband incoherent acoustic sources. The memory allocation of ADSP-TS201...
The SVD algorithm is an efficient method for the coherent DOA estimation, but it just fits only for the uniform linear array. A method of the coherent DOA estimation based on UCA is proposed in this paper. Through combining model-switching with SVD algorithm, it can improve the performance of decorrelation for uniform circular array. The computer simulations showed that this method has a good performance...
In cognitive radio, the cognitive users should ensure the communication of the primary users and avoid or control their interference to the primary users. Therefore, we proposed cognitive beamforming algorithm. DOA estimation, adaptive beamforming and DOA tracking will be considered to accomplish the dynamic cognitive transmission. After the direction angle of each signal has been obtained by the...
A new decorrelation algorithm through perpendicular translation based on Uniform Circular Array (UCA) has been proposed in this paper. More than one covariance matrices were generated by shifting the array of received signal at two perpendicular directions firstly, and then a new covariance matrix which was a full rank matrix was obtained by averaging the previous matrixes and the signals mentioned...
Virtual Array Transformation of DOA Algorithm is widely used in actual engineering DOA estimation of the uniform linear array (ULA) of spacing of array elements greater than half a wavelength or any non-uniform linear array (NULA). However, when virtual array is transformed, if there is a signal outside the current transformation sensor, a serious impact will be had on virtual array DOA estimation...
The problem of direction of arrival (DOA) for multiple-input multiple-output (MIMO) array systems is considered, where orthogonal waveforms are transmitted simultaneously. A novel DOA estimation algorithm for collocated MIMO array is proposed. The proposed algorithm exploits the time delay to obtain two cross-correlation matrices, where the effect of additive noise is eliminated. Then we use singular...
A new method for ultrasonic array orientating of partial discharge (PD) is presented based on the improved FastDOA algorithm. This method expands a real sensor array into several virtual arrays to enhance the resolution. Each virtual array's aperture size is different and bigger than the original array's, then averaging the spatial spectrum of the virtual arrays to restrain the spurious peaks because...
We present a novel approach to locate multiple acoustic sources in far-field environments, in order to solve an interesting problem in different application domain, such as: audio surveillance systems and soundscape analysis frameworks. This approach aims at finding a solution to the ambiguities in Direction Of Arrivals (DOAs) combination caused by simultaneous multiple sources. The algorithm is based...
A new method for improvement of 2-D DOA estimation based on Matrix Pencil (MP) Method is presented. We show that with Tapering of the data matrix, the accuracy of azimuth and elevation estimation can be improved. The method directly applied to the algorithm and only with one snapshot of data, DOA can be estimated. The simulation results demonstrated the effectiveness of the proposed algorithm.
A new pseudo-noise resampling technique is proposed to mitigate the effect of outliers in Root-MUSIC. After resampling of Root-MUSIC via pseudo-randomly generated noise we combine it with conventional beamformer (as a result we obtain the resampled modified root-MUSIC). Censored selection of the results of pseudo-randomly resampled modified Root-MUSIC algorithms is exploited based on an appropriate...
Based on estimation of signal parameter via rotational invariance techniques (ESPRIT), a super-resolution direction of arrival (DOA) estimation approach is developed for partly calibrated or noncoherent sparse array. Numerical results demonstrate that compared with the conventional multiple signal classification (MUSIC) based approaches, the proposed approach performs better under lower signal-to-noise...
We have developed a sequential beamspace method for high resolution direction of arrival (DOA) estimation. Beamspace MUSIC and element space MUSIC DOA estimation algorithms have been implemented to utilize an 8 element uniform circular array operating at 5.8 GHz. The simulation and initial lab results show that the proposed method can achieve good accuracy once it is properly sychronized. In addition,...
In this contribution we address the problem of cooperative localization of primary users in cognitive networks. We formulate this problem as a special case of Bayesian tracking, where multiple secondary users obtain direction-of-arrival (DoA) measurements from the target primary user by means of directional antennas, multi-antenna receivers, or virtual arrays. As opposed to typical settings, time-of-arrival...
In this work, a 360 degrees direction-of-arrival (DOA) estimator using array switching technique is implemented on a software defined radio (SDR) platform. The estimator includes a square antenna array comprising 16 dipole antennas, which is segmented as four 4-element uniform linear arrays (ULA). All 16 antenna elements are connected to RF switches and then connected to four RF receivers. By configuring...
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