基于TDOA和Kalman滤波的声音定位系统的设计Design of sound positioning system based on TDOA and Kalman filtering
王雷,郝建新,陈蔚蔚
摘要(Abstract):
使用单片机STM32F103ZET6为控制核心,通过以LM324芯片、LM567鉴频芯片为主组成的固定声音识别电路设计声音定位系统。针对在固定音频信号采集过程中,由元器件本身以及周围环境等影响而产生的噪声误差,采用TDOA算法和Kalman滤波相结合的方式,对于TDOA算法的计算结果进行优化处理,得出音源位置的最优估计值。经过运行调试,使用Kalman滤波之后,使得系统的定位精度得到较大的提高,实现对目标的快速稳定跟踪。
关键词(KeyWords): 声音识别;声音定位;TDOA;Kalman滤波;STM32F103;Arduino
基金项目(Foundation): 中央高校基本科研业务中国民航大学专项(3122017045)~~
作者(Author): 王雷,郝建新,陈蔚蔚
DOI: 10.16652/j.issn.1004-373x.2018.19.038
参考文献(References):
- [1]耿艳香,梁雪芹,董爱云,等.基于MSP430的声音定位系统设计[J].实验室科学,2014,17(1):8-10.GENG Yanxiang,LIANG Xueqin,DONG Aiyun,et al. Design of voice fixing position system based on MSP430[J]. Laboratory science,2014,17(1):8-10.
- [2]李昌禄,郭威辰,苏寒松.基于TDOA的声音定位系统[J].实验室研究与探索,2014,33(6):118-121.LI Changlu,GUO Weichen,SU Hansong. Sound positioning system based on TDOA[J]. Research and exploration in laboratory,2014,33(6):118-121.
- [3]韩毅,吴初娜,李龙飞,等.基于到达时差的声音定位系统的研究与实现[J].计算机工程与设计,2010,31(11):2462-2465.HAN Yi,WU Chuna,LI Longfei,et al. Research and development of sound localization system based on time difference of arrival[J]. Computer engineering and design,2010,31(11):2462-2465.
- [4]李大舟,赵海,朱剑,等.无线传感器网络中免于测距的声音定位算法[J].东北大学学报(自然科学版),2011,32(6):806-809.LI Dazhou,ZHAO Hai,ZHU Jian,et al. A range free acoustic localization algorithm in WSN[J]. Journal of Northeastern University(natural science),2011,32(6):806-809.
- [5]殷桂华,王小辉,雷毅谈.基于TDOA的室内运动目标双曲线RFID定位方法[J].计算机应用,2014,34(z2):52-54.YIN Guihua,WANG Xiaohui,LEI Yitan. RFID hyperbolic positioning using TDOA method for indoor moving target[J]. Journal of computer applications,2014,34(S2):52-54.
- [6]王益平,王皓,吴衡,等.基于到达时差的低功耗声音定位系统[J].机电工程,2014,30(8):1015-1019.WANG Yiping,WANG Hao,WU Heng,et al. Sound localization system based on time difference of arrival with considerable power saving[J]. Journal of mechanical&electrical engineering,2014,30(8):1015-1019.
- [7]王瑞荣,郑书万,陈浩龙,等.一种基于Talor和Kalman的室内协同定位方法[J].传感技术学报,2014,27(11):1557-1561.WANG Ruirong,ZHENG Shuwan,CHEN Haolong,et al. An cooperative localization method based on Taylor and Kalman algorithms[J]. Chinese journal of sensors and actuators,2014,27(11):1557-1561.
- [8]苗晟,周维,唐浩,等.一种声源定位系统设计[J].计算机科学,2013,40(11A):398-400.MIAO Sheng,ZHOU Wei,TANG Hao,et al. Acoustic location system design[J]. Computer science,2013,40(11A):398-400.
- [9]王素青,熊维堂.基于STM32的两轮自平衡小车系统设计[J].实验室研究与探索,2016,35(5):146-150.WANG Suqing,XIONG Weitang. The design of the two-wheel self-balancing vehicle system based on STM32[J]. Research and exploration in laboratory,2016,35(5):146-150.
- [10]黄小平,王岩.卡尔曼滤波原理及应用Matlab仿真[M].北京:电子工业出版社,2015.HUANG Xiaoping,WANG Yan. The principle and application of Kalman filter:Matlab simulation[M]. Beijing:Publishing House of Electronics Industry,2015.
- [11]李庆瀛,褚金奎,李荣华,等.基于卡尔曼滤波的移动机器人运动目标跟踪[J].传感器与微系统,2008,27(11):66-68.LI Qingying,CHU Jinkui,LI Ronghua,et al. Moving object tracking algorithm for mobile robot based on Kalman filter[J].Transducer and microsystem technologies,2008,27(11):66-68.