基于ARM的方位判定系统研究与设计
[Abstract]:The azimuth determination system uses sound signal to locate the target and determines the position of the target by correlation calculation. The existing sound positioning technology has some shortcomings such as poor real-time, low positioning precision and easy to be affected by reverberation. In order to solve these problems, a azimuth determination system based on ARM is designed in this paper, with emphasis on hardware circuit design and software design. The research contents and research results mainly include the following aspects: 1. Based on the analysis and study of azimuth determination method, the overall design scheme of azimuth determination system is put forward. According to the requirement of sound signal quality and operation quantity, electret microphone and planar microphone array are selected. The existing azimuth determination methods are compared and analyzed, and the appropriate azimuth determination algorithm is selected. In this system, the generalized cross-correlation time delay estimation algorithm is chosen. The plane quaternion microphone array used in the system is described by the algorithm model and the calculation formula of the target position is deduced, and the azimuth determination algorithm is improved. According to the requirements of the system, the STM32F103RBT6 microprocessor is used to complete the data processing and calculation, and LCD1602 is used as the liquid crystal display device. In the aspect of hardware circuit design, this paper adopts low power design. Mainly includes processor peripheral module design, signal processing module design, LCD module design, power module design. 3. Software design, this paper uses Real View MDK development tools, and the use of STM32 standard peripheral library function. System initialization, main program design, LCD program design and azimuth determination algorithm are implemented. After the hardware and software design of the system is completed, the welding of the hardware circuit board and the debugging of the hardware and software are carried out. The system is tested in a relatively stable indoor environment, and the error of the measurement results is analyzed. The results of many experiments show that the azimuth determination system based on ARM can run normally, the positioning error is within 4%, and it can meet the requirements of azimuth determination for different frequency sound signals, and the real-time performance is good. It has high use value.
【学位授予单位】:西安科技大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TN641;TP311.52
【参考文献】
相关期刊论文 前9条
1 王春艳;樊官民;孟杰;;基于广义互相关函数的声波阵列时延估计算法[J];电声技术;2010年08期
2 王亚斌;贾晶晶;刘明杰;;Research on Acoustic Localization Algorithm Based on Dual Four-Element Arrays[J];Journal of Beijing Institute of Technology;2009年01期
3 崔玮玮;曹志刚;魏建强;;声源定位中的时延估计技术[J];数据采集与处理;2007年01期
4 李承智,曲天书,吴玺宏;一种改进的AEDA声源定位及跟踪算法[J];北京大学学报(自然科学版);2005年05期
5 李守军,包更生,吴水根;水声定位技术的发展现状与展望[J];海洋技术;2005年01期
6 严素清,黄冰;传声器阵列的声源定位研究[J];电声技术;2004年12期
7 陈华伟,赵俊渭,郭业才;五元十字阵被动声定位算法及其性能研究[J];探测与控制学报;2003年04期
8 朱广信,陈彪,金蓉;基于传声器阵列的声源定位[J];电声技术;2003年01期
9 徐占朝,张盛林,赵国志;传声器的选择和使用[J];中国医学教育技术;2002年02期
相关博士学位论文 前2条
1 居太亮;基于麦克风阵列的声源定位算法研究[D];电子科技大学;2006年
2 张正明;辐射源无源定位研究[D];西安电子科技大学;2000年
相关硕士学位论文 前10条
1 黄海军;基于传声器阵列的声源定位系统的初步研究[D];东华大学;2013年
2 王春霞;声源定位系统时延估计算法优化研究[D];河北工程大学;2012年
3 张青;基于时延估计的声源定位算法的研究[D];北方工业大学;2012年
4 闫行;微弱电流信号检测系统的设计[D];中北大学;2011年
5 朱铮宇;基于传声器阵列的声源定位技术研究[D];陕西师范大学;2011年
6 苏立娟;基于麦克风阵列的声源定位技术研究与ARM实现[D];燕山大学;2011年
7 刘杰;基于DSP的声源定位算法研究与实现[D];燕山大学;2010年
8 柯昆;声源定位技术研究[D];西安电子科技大学;2010年
9 鲁佳;基于传声器阵列的声源定位研究[D];天津大学;2008年
10 唐娟;不同环境下的时延估计算法及其仿真研究[D];南京信息工程大学;2007年
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