In this paper, we propose a new approach that combines cyclostationarity and linear prediction (LP) to extract the cyclic correlations of only signals with the same cycle frequency and null out the cyclic correlations...
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ISBN:
(纸本)7121002159
In this paper, we propose a new approach that combines cyclostationarity and linear prediction (LP) to extract the cyclic correlations of only signals with the same cycle frequency and null out the cyclic correlations of stationary additive noise and all other interferences with different cycle frequencies in coherent environment. Unlike similar existing methods, the proposed algorithm requires only a uniform linear subarray and the rest of array may have arbitrary and unknown response. The maximum number of signals resolvable with our method may exceed the number of sensors. Simulations are conducted to prove the effectiveness of the proposed approach.
In the rapidly evolving fields of virtual and augmented reality, accurate spatial audio capture and reproduction are essential. For these applications, Ambisonics has emerged as a standard format. However, existing me...
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ISBN:
(纸本)9798350374520;9798350374513
In the rapidly evolving fields of virtual and augmented reality, accurate spatial audio capture and reproduction are essential. For these applications, Ambisonics has emerged as a standard format. However, existing methods for encoding Ambisonics signals from arbitrary microphone arrays face challenges, such as errors due to the irregular array configurations and limited spatial resolution resulting from a typically small number of microphones. To address these limitations and challenges, a mathematical framework for studying Ambisonics encoding is presented, highlighting the importance of incorporating the full steering function, and providing a novel measure for predicting the accuracy of encoding each Ambisonics channel from the steering functions alone. Furthermore, novel residual channels are formulated supplementing the Ambisonics channels. A simulation study for several array configurations demonstrates a reduction in binaural error for this approach.
The presence of sensor array errors due to mutual coupling and channel mismatch among array sensors severely degrades the performance of direction-of-arrival (DOA) estimation algorithms. This paper proposes a novel se...
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ISBN:
(纸本)9781479958368
The presence of sensor array errors due to mutual coupling and channel mismatch among array sensors severely degrades the performance of direction-of-arrival (DOA) estimation algorithms. This paper proposes a novel sensor array errors calibration algorithm based on iterative least squares with projection (ILSP) algorithm, which suits for arbitrary array and only needs one auxiliary signal source. This algorithm firstly estimates the true steering vector by using ILSP, then estimates the sensor array errors by solving the equation between the nominal steering vector and the true steering vector. Comparative computer simulation results are presented to illustrate that the proposed algorithm still has lower computational complexity and higher calibration accuracy on the condition of less snapshots and minor DOA intervals of different sampling time.
This paper presents a method of designing robust superdirective beamformers for arbitrary sensor arrays. First, the optimal weighting vector is transformed into an equivalent form based on the eigen-decompo-sition of ...
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This paper presents a method of designing robust superdirective beamformers for arbitrary sensor arrays. First, the optimal weighting vector is transformed into an equivalent form based on the eigen-decompo-sition of the noise correlation matrix in an isotropic uniform noise field, and its entries will be indexed using mode orders instead of element numbers. Second, a parameter is weighted at the maximum-order entry in the modified weighting vector. The beampattern, directivity factor, and error sensitivity function can be expressed as functions of the parameter. Adjusting the parameter will achieve arbitrary-order superdirective beampatterns with different directivity factors or error sensitivity functions. Third, the closed-form expression of the parameter can be derived given a desired directivity factor or error sensi-tivity function. The final robust broadband superdirective beampatterns can then be readily synthesized. The proposed method, which is an extension of that previously proposed for circular sensor arrays, pro-vides flexible schemes to designing robust broadband superdirective beamformers for arbitrary arrays in simulations and experiments.& COPY;2023 Elsevier Ltd. All rights reserved.
Digital array radars with conformal arrays are attractive for platforms with limited installation space such as aircraft and unmanned aerial vehicles. Low-complexity digital beamforming (DBF) scheme is of great import...
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Digital array radars with conformal arrays are attractive for platforms with limited installation space such as aircraft and unmanned aerial vehicles. Low-complexity digital beamforming (DBF) scheme is of great importance for conformal arrays with arbitrary geometry for real-time applications. This study presents two kinds of two-dimensional (2D) Fourier bases for the orthogonal decomposition of arbitrary array manifold. The sampling matrix (2D Fourier spectra) can be obtained from the 2D DFT of the array calibration data, facilitating fast DBF scheme for conformal arrays. Moreover, the second 2D Fourier basis can be used to rotate a function on D = [0, 2 pi) x [0, pi]. The modelling accuracy and complexity of different 2D Fourier representations are compared by numerical results and the rotation of functions on D is demonstrated.
In this paper, in order to estimate the angles for arbitrarily spaced arrays with acoustic vector-sensor, we combine the compressed sensing theory with parallel factor(PARAFAC) model, and propose a neoteric angle esti...
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In this paper, in order to estimate the angles for arbitrarily spaced arrays with acoustic vector-sensor, we combine the compressed sensing theory with parallel factor(PARAFAC) model, and propose a neoteric angle estimation algorithm. The proposed algorithm firstly compressed the PARAFAC model, then exploit trilinear alternating least square(TALS) algorithm to estimate the parameter matrices and obtains the angle estimation. Owing to compression, the proposed algorithm has smaller storage requirement and lower computational complexity, compared with the conventional PARAFAC algorithm. It's also works well to achieve automatically paired azimuth and elevation angles. The angle estimation performance of the proposed algorithm is close to the conventional PARAFAC algorithm, and is better than the estimation of signal parameters via rotational invariance techniques(ESPRIT) algorithm. Various simulation results demonstrate the effectiveness of our algorithm.
Exhaustive search-based Direction-of-Arrival (DoA) estimation algorithms are computationally intensive and may yield a biased result with arrays of arbitrary geometry. In this paper, an algorithm named Grid Iterative ...
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ISBN:
(纸本)9781510872752
Exhaustive search-based Direction-of-Arrival (DoA) estimation algorithms are computationally intensive and may yield a biased result with arrays of arbitrary geometry. In this paper, an algorithm named Grid Iterative Estimation of Signal Parameters via Rotational Invariance Techniques (GI-ESPRIT) is proposed to get a statistically unbiased DoA estimate efficiently based on Augmented ESPRIT (AESPRIT). First, AESPRIT is modified with a loop structure, and then the DoA estimate is obtained via guided phase compensation iteratively. The iteration will converge provably to the right DoA value quickly if a proper initial compensation angle is provided. The entire angle domain is coarsely gridded and the direction of each grid is utilized as an initial compensation angle. Simulations verify the efficiency and effectiveness of the proposed method, and the computation efficiency can be improved significantly compared with other DoA methods such as MUltiple SIgnal Classification (MUSIC) and Manifold Separation Technique (MST).
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