首页|期刊导航|南京大学学报(自然科学版)|定向偏置声场的传声器阵列多点协同记录方法

定向偏置声场的传声器阵列多点协同记录方法OA

A multi-point collaborative recording method for microphone arrays in directionally biased sound fields

中文摘要英文摘要

准确的声场记录是声场分析、控制与重放等空间声应用的关键前提.针对实际环境中普遍存在的定向偏置声场,基于最优基函数的模式分解已被证明是一种高效的表征手段,然而,现有方法在实施过程中依赖单点传声器阵列的独立测量,其空间信息获取能力有限,易受测量噪声的影响.为了解决这一问题,将多点测量技术引入最优模式分解框架,提出一种面向定向偏置声场的分布式协同记录方法.该方法在多个空间位置布设传声器阵列来获取声压观测数据,利用球面波函数的叠加定理构建多点约束下的声场分解传递函数矩阵,实现了对模式分解系数的联合估计.数值仿真与实测结果均表明,与目前单点测量方案或基于球谐基函数的方法相比,所提方法在有效频率范围及整个目标听音区域内均可显著降低重构声压的相对误差,从而提升对定向偏置声场的记录能力.

Accurate sound field recording serves as a fundamental prerequisite for spatial audio applications such as sound field analysis,control,and reproduction.For directionally biased sound fields commonly encountered in practice,modal decomposition based on optimal basis functions has proven to be an efficient representation approach;however,existing implementations typically rely on independent measurements using a single microphone array,which provides limited spatial information and is susceptible to noise.To address this issue,this study incorporates multi-point measurement into the optimal modal decomposition framework and proposes a distributed collaborative recording method for directionally biased sound fields.By constructing a sound field decomposition transfer matrix under multi-point constraints using the addition theorem of spherical wave functions,joint estimation of modal decomposition coefficients is achieved.Numerical simulations and experimental measurements demonstrate that,compared with single-point strategies or methods using spherical harmonic bases,the proposed method significantly reduces the relative error of reconstructed sound pressure over both the effective frequency range and the entire target listening area,thereby improving recording performance for directionally biased sound fields.

王文韬;王栋才;刘紫赟;沈勇

近代声学教育部重点实验室,南京大学物理学院,南京,210093近代声学教育部重点实验室,南京大学物理学院,南京,210093近代声学教育部重点实验室,南京大学物理学院,南京,210093近代声学教育部重点实验室,南京大学物理学院,南京,210093

通用工业技术

声场记录模式分解多点测量传声器阵列球谐函数

sound field recordingmodal decompositionmulti-point measurementmicrophone arraysspherical harmonics

《南京大学学报(自然科学版)》 2026 (3)

458-474,17

国家自然科学基金(12374446)

10.13232/j.cnki.jnju.2026.03.012

评论