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作 者:汤敏 顾炜江[2] TANG Min;GU Weijiang(School of Physics and Information Engineering,Jiangsu Second Normal University,Nanjing Jiangsu 211200,China;Office of Cyberspace and Information Technology,Nanjing Forestry University,Nanjing Jiangsu 210037,China)
机构地区:[1]江苏第二师范学院物理与信息工程学院,江苏南京211200 [2]南京林业大学网络安全和信息化办公室,江苏南京210037
出 处:《传感技术学报》2024年第4期690-695,共6页Chinese Journal of Sensors and Actuators
基 金:国家自然基金项目(61871444)。
摘 要:由于多路音频存在信号混合噪声干扰,以单路无线传感器网络(Wireless Sensor Networks, WSN)节点为基础的采集过程,淡化了不同路线上的噪声特征,以单一阈值为基础降噪,存在采集偏差大、丢包率高等问题,提出基于WSN节点的多路音频信号低功耗实时采集方法。利用五元麦克风声源定位模型,确定音频信号声源的方位、距离和角度等信息,引入传感器节点,引入静音区检测的多路降噪法,通过调整静音区幅度值为0达到对音频信号不同线路的降噪目的;通过计算合适的采样时间点和平均采样频率,实现多路音频信号低功耗采集。在对比实验测试中,所提方法取得的音频信号值最接近实际值,并且丢包率最高仅为2.5%,最高功耗仅为0.62 W,该方法有效提高了信号的准确性。Due to the mixed signal noise interference of multi-channel audio,the acquisition process based on the single wireless sensor networks(WSN)node desalinates the noise characteristics on different routes,and the noise reduction based on a single threshold has the problems of large acquisition deviation and high packet loss rate.A low-power real-time acquisition method for multi-channel audio signals based on WSN nodes is proposed.The five element microphone sound source positioning model is used to determine the orienta-tion,distance,angle and other information of the audio signal sound source.The sensor node is introduced,and the multi-channel noise reduction method of mute area detection is introduced.By adjusting the amplitude value of the mute area to 0,the noise of different lines of the audio signal is reduced.By calculating the appropriate sampling time and average sampling frequency,the low-power acquisition of multi-channel audio signals is realized.In the comparative experimental test,the audio signal value obtained by the proposed method is closest to the actual value,and the highest packet loss rate is only 2.5%,and the highest power consumption is only 0.62 W.The pro-posed method effectively improves the accuracy of the signal.
关 键 词:WSN节点 多路音频信号 低功耗采集 声源定位 平均采样频率 噪声干扰
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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