球面扇形谐波域中的 NeaSource 定位和波束成形

IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-15 DOI:10.1109/JSTSP.2024.3442469
Shekhar Kumar Yadav;S. R. M. Prasanna;Nithin V. George
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引用次数: 0

摘要

三维阵列可以在空间域的任何地方定位声源,不会产生任何模糊。在这些阵列中,球形麦克风阵列(SMA)已在声源定位和波束成形中得到广泛应用。然而,球形麦克风阵列体积庞大,在空间和功率有限的应用中并不理想。为了解决这个问题,人们开发了只在球面的一个扇形区域放置麦克风的阵列,以及各种球面扇形谐波(S2H)域远场声源定位技术。本研究利用球面扇形麦克风阵列进行近场声学定位和波束成形。我们首先使用正交 S2H 基函数介绍了 S2H 域中来自近场点声源的球面波的表示方法。然后,利用该表示法,我们开发了一个阵列模型,用于将球面扇形阵列置于 S2H 域中由多个近场源产生的波场中。与基线近场空间域阵列模型相比,我们强调了所开发的阵列模型的优势。利用所开发的阵列模型,我们提出了两种联合估计近场源的射程、仰角和方位角位置的算法,即 NF-S2H-MUSIC 和 NF-S2H-MVDR。此外,我们还介绍了一种能够在 S2H 域中进行径向和角度滤波的近场波束成形算法。最后,我们介绍了在 S2H 域中对近场源进行测距、仰角和方位角估计的 Cramer-Rao 约束 (CRB)。通过大量的近场定位和波束成形模拟以及实验,对所提算法的性能进行了评估。
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NeaSource Localization and Beamforming in the Spherical Sector Harmonics Domain
Three-dimensional arrays can localize sources anywhere in the spatial domain without any ambiguity. Among these arrays, the spherical microphone array (SMA) has gained widespread usage in acoustic source localization and beamforming. However, SMAs are bulky, making them undesirable in applications with space and power constraints. To deal with this issue, arrays with microphones placed only in a sector of a sphere have been developed along with various techniques for localizing far-field sources in the spherical sector harmonics (S 2 H) domain. This work addresses near-field acoustic localization and beamforming using a spherical sector microphone array. We first introduce a representation of spherical waves from a near-field point source in the S 2 H domain using the orthonormal S 2 H basis functions. Then, using the representation, we develop an array model for when a spherical sector array is placed in a wavefield created by multiple near-field sources in the S 2 H domain. We highlight the advantages of the developed array model over the baseline near-field spatial domain array model. Using the developed array model, two algorithms are proposed for the joint estimation of the range, elevation and azimuth locations of near-field sources, namely NF-S 2 H-MUSIC and NF-S 2 H-MVDR. Further, a near-field beamforming algorithm capable of radial and angular filtering in the S 2 H domain is also presented. Finally, we present the Cramer-Rao Bound (CRB) for range, elevation and azimuth estimation in the S 2 H domain for near-field sources. The performances of the proposed algorithms are assessed using extensive near-field localization and beamforming simulations and an experiment.
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来源期刊
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing 工程技术-工程:电子与电气
CiteScore
19.00
自引率
1.30%
发文量
135
审稿时长
3 months
期刊介绍: The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others. The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.
期刊最新文献
Front Cover Table of Contents IEEE Signal Processing Society Information Introduction to the Special Issue Near-Field Signal Processing: Algorithms, Implementations and Applications IEEE Signal Processing Society Information
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