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The integration of advanced techniques, like smart signal processing algorithms, in conventional antenna array has led to the emergence of more sophisticated antennas which are, today, called smart antennas. This specific kind of antenna array has two basic functions; direction of arrival estimation and beamforming. This paper investigates the performance of Direction-of-Arrival (DoA) estimation of...
In this paper, direction of arrival (DOA) estimation using sum co-array of coprime arrays is studied. The array geometry can be represented as the kronecker product of those of two coprime arrays. This array structure can reduce the aperture loss when extracting the subarrays, which are jointly used to achieve high resolution and unique DOA estimation via low computational propagator method. Compare...
Contactless respiration monitoring using Doppler radar is an important technology for healthcare applications. The radar measures small displacements of the body surface. In this study, we propose a new algorithm to separate multiple targets placed closely together at the same range but at different lateral positions using ultra-wideband array radar and the Capon method. The Capon method, which is...
When noise is directional instead of diffuse, the majority of conventional direction of arrival (DOA) estimation techniques suffer from performance degradation because of mismatched noise models. In this paper, a novel robust DOA estimation algorithm is developed as an initial investigation into DOA estimation of speech under directional non-speech interference (DNSI) and non-directional background...
It is known that accurate partition of subspaces is important to fourth-order statistics based multiple signal classification (FO-MUSIC) algorithm. However, when the number of signals exceeds the number of array elements, the error of conventional subspace partition method will increase, and the performance of FO-MUSIC algorithm will decrease. A novel subspace partition method for FO-MUSIC algorithm...
Sound source localization techniques are becoming popular as they provide an effective information for parameter coding and reconstruction of sound scene. A recent approach based on “single-source” zone detecting was proposed. However, the method is not robust in noisy environment due to its DOA estimation principle. To overcome this issue, a mixture enhancement processing based multiple sound source...
In this paper, a computationally efficient direction of arrival (DOA) estimation algorithm without subspace decomposition is presented with a uniform linear array (ULA). The ULA is divided into two sub-arrays and two noise-free cross-correlation matrices are computed using the data vectors received by the two sub-arrays. By rearranging the elements of a vector formed from the new constructed cross-correlation...
This paper presents a weighted version of shooting method for high-resolution Direction Of Arrival (DOA) estimation based on Sparse Spectrum Fitting (SpSF). SpSF is one of the sparse DOA estimation methods based on ℓ1-regularization which uses the penalty term in optimization. The regularization process often takes long time and is very sensitive to the penalty term, but it is difficult to know its...
A Method of source number detection and estimation direction of arrival (DOA) is applied to detect the passive target of under water in low signal-to-noise ratio (SNR) condition. Firstly, the combined covariance matrix of the pressure and particle velocity with uniform circular acoustic vector sensor array is constructed. Then, diagonal loading is used to make a robust estimation. Finally, the information...
A method is proposed for reducing the effect of white noise in wideband uniform linear arrays via a combination of a judiciously designed transformation followed by highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various direction of arrival (DOA) estimation methods. As a representative example,...
In the ray-tracing method, radio propagation is approximately represented by using reflected and diffracted rays. Thus an arrival angle of incoming wave can be known easily by using the path of ray. On the other hand, in the FDTD method, a propagation wave is calculated strictly based on Maxwell's equations. Therefore, it seems difficult to know the arrival angle of incoming wave in the FDTD analysis...
In this paper, the wideband Capon cepstrum weighted l2, 1 minimization algorithm (WB-CW l2, 1) is presented for wideband direction of arrival (DOA) estimation using an acoustic array. The problem of wideband DOA estimation is converted into the estimation of the sparsity pattern of a jointly sparse signal and then solved by the weighted l2, 1 norm minimization. WB-CW l2, 1 uses the Capon cepstrum...
Passive sources localization in the presence of strong interferences is generally a difficult problem. A sparse-representation-based adaptive interference suppression (SRAIS) method is proposed in this paper for interference suppression and bearing estimation, which can reduce the power loss of the TOI signal and have more accurate direction-of-arrival (DOA) estimation, especially when the input powers...
The problem of joint frequency and direction of arrival (DOA) estimation for multiple narrowband signals is addressed here. Previous work has employed co-prime arrays and co-prime samplers to estimate the frequency and DOA individually. Though this can increase the degrees of freedom (DOFs) in the space or time domain, the drawback lies in that it requires an extra procedure to pair these two kinds...
Direction of arrival estimation(DOA) and signal recovery respectively is the precondition of the underwater target positioning, tracking and recognition. Based on the compressed sensing (CS) theory, a kind of method for DOA estimation and signal recovery is proposed using the multiple snapshots processing of the array data in frequency domain. Firstly, the receiving array data are transformed to frequency...
The accuracy of direction of arrival estimation tends to degrade under reverberant conditions due to the presence of reflected signal components which are correlated with the direct path. The recently proposed direct-path dominance test provides a means of identifying time-frequency regions in which a single signal path is dominant. By analysing only these regions it was shown that the accuracy of...
For technology of super-resolution direction finding, in order to avoid effect on the result of Direction of arrival (DOA) when number of signals is estimated by error, a kind of two-dimensional (2-D) DOA estimation algorithm based on projection decomposition is proposed in this paper. First, maximal possible number of signal is assumed, then we use MUSIC algorithm to estimate the primary angles of...
Massive MIMO plays an important role for future cellular networks since the large number of antenna elements is capable of increasing the spectral efficiency and the amount of usable spectrum. The 1-bit analog-to-digital converters can drastically reduce the resulting complexity and power consumption. Therefore, we investigate the Direction of Arrival (DoA) estimation using 1-bit measurements of many...
In this paper the performance analysis of TLS-Esprit, QR TLS-Esprit for Direction of Arrival(DOA) estimation is evaluated in terms of the root mean square DOA error. In these paper, exploring the Eigen analysis category of high resolution and super resolution algorithms, presentation and description, comparison and the performance and resolution analyses of these algorithm are made. These high resolution...
Accurate DOA estimation based on clustering the inter-sensor data ratios (ISDRs) of a single acoustic vector sensor (AVS), referred as AVS-ISDR, relies on reliable extraction of time-frequency points with high local signal-to-noise ratio (HLSNR-TFPs) and its performance degrades in noisy environments. This paper investigates deep neural networks (DNNs) trained with noisy-clean speech pairs under different...
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