基于混沌人工蜂群优化的声源定位算法

doi:10.16182/j.issn1004731x.joss.201706002

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (6): 1168-1173.doi: 10.16182/j.issn1004731x.joss.201706002

基于混沌人工蜂群优化的声源定位算法

郭业才^1,2, 马伟伟¹, 朱赛男¹

1.南京信息工程大学电子与信息工程学院,江苏南京 210044;
2.南京信息工程大学江苏省大气环境与装备技术协同创新中心,江苏南京 210044

收稿日期:2015-06-01 修回日期:2015-07-28 出版日期:2017-06-08 发布日期:2020-06-04
作者简介:郭业才(1962-),男,安徽安庆,博士,教授,博导,研究方向为通信信号处理、自适应盲均衡技术。
基金资助:
国家自然科学基金(61673222),江苏省高校自然科学基金(13KJA510001),江苏高校品牌专业建设项目(PPZY2015B134)

Source Location Algorithm Based on Chaos Artificial Bee Colony Algorithm

Guo Yecai^1,2, Ma Weiwei¹, Zhu Sainan¹

1. School of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2015-06-01 Revised:2015-07-28 Online:2017-06-08 Published:2020-06-04

摘要/Abstract

摘要： 针对传统可控响应功率和相位变换(SRP-PHAT)的声源定位算法计算量大、实时性差等问题,提出了一种基于混沌人工蜂群优化的SRP-PHAT声源定位算法。该算法将阵列的波束输出功率作为目标代价函数,建立声源定位数学模型,利用混沌的全局覆盖性和人工蜂群算法的收敛速度快、鲁棒性强等特点,实现了声源的三维精确定位。实验结果表明,该算法计算量小、定位精度高,能满足实际系统的定位需求。

关键词: 混沌映射, 人工蜂群, 可控响应功率和相位变换, 声源定位算法

Abstract: Aiming at defects of large computational complex and poor real-time performance of the traditional power controlled response and phase transformation (Steering response power-phase transform, SRP-PHAT) based source localization algorithm, a novel SRP-PHAT source localization algorithm based on chaos artificial bee colony algorithm was proposed. In this proposed algorithm, the beam power function of the microphone array was used as the objective cost function to establish the mathematical model of the source localization, the global coverage of chaos and fast convergence speed and strong robustness of the artificial colony algorithm were combined to realize 3D localization of the sound source. The experimental results show that the proposed algorithm has lower computational complex and high positioning accuracy, and it can satisfy the need of actual positioning system.

Key words: chaotic mapping, artificial colony, steering response power-phase transform (SRP-PHAT), sound source localization algorithm

中图分类号:

郭业才, 马伟伟, 朱赛男. 基于混沌人工蜂群优化的声源定位算法[J]. 系统仿真学报, 2017, 29(6): 1168-1173.

Guo Yecai, Ma Weiwei, Zhu Sainan. Source Location Algorithm Based on Chaos Artificial Bee Colony Algorithm[J]. Journal of System Simulation, 2017, 29(6): 1168-1173.

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基于混沌人工蜂群优化的声源定位算法

Source Location Algorithm Based on Chaos Artificial Bee Colony Algorithm

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