Page 32 - 《应用声学》2021年第2期

第 40 卷 第 2 期 Vol. 40, No. 2
2021 年 3 月 Journal of Applied Acoustics March, 2021

⋄ 研究报告 ⋄

基于三元伪随机序列集的多声源房间脉冲

响应测量方法 ∗

许 凡 申雨晨 冯雪磊 † 沈 勇

(南京大学 近代声学教育部重点实验室 南京 210093)

摘要：在多输入多输出系统中，诸多情况下需并行测量任意输入输出之间的脉冲响应。虽然利用以 Kasami 序
列集为代表的二元伪随机序列集良好的相关特性可以实现多声源并行测量，但是囿于其编解码信号相同且为
二元信号的特点，使得其相关特性仍存在较大的可优化空间。该文提供了一种基于三元伪随机序列集的多声
源房间脉冲响应测量方法，具有更好的相关特性，提高了测量准确度。仿真和实验验证了该测量方法的可行性
和准确性。在封闭空间几何模型构建等领域中，可使用该方法提高测量效率并降低由于各通道不同步导致的
误差。
关键词：伪随机序列；Kasami 序列；多声源系统；脉冲响应
中图法分类号: TB52+5 文献标识码: A 文章编号: 1000-310X(2021)02-0200-13
DOI: 10.11684/j.issn.1000-310X.2021.02.005

A multi-source room impulse response measurement method based on

a ternary pseudo-random sequence set

XU Fan SHEN Yuchen FENG Xuelei SHEN Yong

(Ministry-of-Education Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093, China)

Abstract: Impulse responses between an arbitrary source and receiver need to be measured simultaneously in
many cases of multiple-input multiple-output systems. Represented by the sets of Kasami sequences, binary
pseudo-random sequence sets with good correlation properties can be utilized for simultaneous measurements of
multi-source systems. However, performance of the method is limited for the encoding and decoding processes
are based on the same binary signal. Based on a ternary pseudo-random sequence set, this paper proposes
a method for making acoustic measurements simultaneously for multiple sources. The method with better
correlation properties improves accuracy of measurements. Both simulation and experimental results are pre-
sented, demonstrating the feasibility and fidelity of the proposed method. In many domains such as modelling
of room geometry, the proposed method can be used to improve efficiency of measurements and to lower the
synchronization error of multi-channels measurements.
Keywords: Pseudo-random sequence; Kasami sequence; Multi-source system

2020-06-16 收稿; 2020-09-11 定稿
国家重点研发计划项目 (2018YFB1403800), 国家自然科学基金项目 (11904330)
∗
作者简介: 许凡 (1995– ), 男, 陕西西安人, 硕士研究生, 研究方向: 电声学。
† 通信作者 E-mail: xlfeng@nju.edu.cn