宽场声学启发式:改进的麦克风阵列设计,用于回声定位蝙蝠的精确空间跟踪。

IF 2.6 Q2 ECOLOGY
Ravi Umadi
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引用次数: 0

摘要

准确的三维定位超声波蝙蝠呼叫是必不可少的推进行为和生态研究。我提出了一个全面的,开源的模拟框架-阵列wah -用于设计,评估和优化为生物声学跟踪量身定制的麦克风阵列。该工具结合了生物逼真的信号生成、频率相关的传播和先进的到达时间差(TDoA)定位算法,能够精确量化位置和角度精度。该框架支持调频(FM)和恒频(CF)呼叫类型,后者是Hipposiderid和Rhinolophid蝙蝠的特征,由于其长时间的发射,它们特别容易出现定位错误。一个关键的创新是在呼叫发射期间整合源运动建模,它引入了基于多普勒的时间扭曲和跨麦克风的相移-这是源定位中一个重要但经常被忽视的误差源。我系统地比较了四种阵列几何形状——平面正方形、金字塔、四面体和八面体——在一个体积空间网格上。四面体和八面体结构表现出优越的定位鲁棒性,而平面阵列表现出有限的角分辨率。我的模拟表明,空间分辨率从根本上受到阵列几何形状和信号结构的限制,在0.5米臂长时,典型的定位误差在5-10厘米之间。通过提供灵活、可扩展和用户友好的仿真环境,Array WAH支持任务特定的设计和紧凑的现场部署定位系统的部署。它对于研究自然条件下自由飞行蝙蝠的声学行为特别有价值,并且补充了新兴的低功率多通道超声波记录仪,用于现场部署和方法验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Widefield acoustics heuristic: advancing microphone array design for accurate spatial tracking of echolocating bats.

Widefield acoustics heuristic: advancing microphone array design for accurate spatial tracking of echolocating bats.

Widefield acoustics heuristic: advancing microphone array design for accurate spatial tracking of echolocating bats.

Widefield acoustics heuristic: advancing microphone array design for accurate spatial tracking of echolocating bats.

Accurate three-dimensional localisation of ultrasonic bat calls is essential for advancing behavioural and ecological research. I present a comprehensive, open-source simulation framework-Array WAH-for designing, evaluating, and optimising microphone arrays tailored to bioacoustic tracking. The tool incorporates biologically realistic signal generation, frequency-dependent propagation, and advanced Time Difference of Arrival (TDoA) localisation algorithms, enabling precise quantification of both positional and angular accuracy. The framework supports both frequency-modulated (FM) and constant-frequency (CF) call types, the latter characteristic of Hipposiderid and Rhinolophid bats, which are particularly prone to localisation errors due to their long-duration emissions. A key innovation is the integration of source motion modelling during call emission, which introduces Doppler-based time warping and phase shifts across microphones-an important and often overlooked source of error in source localisation. I systematically compare four array geometries-a planar square, a pyramid, a tetrahedron, and an octahedron-across a volumetric spatial grid. The tetrahedral and octahedral configurations demonstrate superior localisation robustness, while planar arrays exhibit limited angular resolution. My simulations reveal that spatial resolution is fundamentally constrained by array geometry and the signal structure, with typical localisation error ranging between 5-10 cm at 0.5 m arm lengths. By providing a flexible, extensible, and user-friendly simulation environment, Array WAH supports task-specific design and deployment of compact, field-deployable localisation systems. It is especially valuable for investigating the acoustic behaviour of free-flying bats under naturalistic conditions, and complements emerging low-power multichannel ultrasonic recorders for field deployment and method validation.

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