CAJ | 학술논문

计算、存储空间、电能等资源极其有限的无线传感器网络节点,难以实现宽带音频、视频、图像等信号的采集和大流量采样数据的无线传输.针对此问题,结合压缩感知理论,提出了一种基于随机采样的音频信号采集方案.该方案中音频采集节点直接对模拟的音频信号进行低速随机采样,并将少量的低速采样得到的采样值传输至用户端,复杂的信号重建过程和信号分析在用户端完成.在单纯随机采样的基础上,提出了加性的随机采样时刻序列生成方法、推导了随机采样等效观测矩阵,并对随机采样等效观测矩阵的性能进行了仿真分析.仿真实验表明:该方案合理可行,以0.4倍奈奎斯特频率对音频信号采样时,信号重建误差低于0.02;以0.5倍奈奎斯特频率对音频信号采样时,信号重建误差低于0 .01 .在噪声模型下,该方案有一定抑制噪声功能.该方案在保证信号重建质量的前提下,能够大大降低节点数据采集与传输的能耗,从而有效解决无线音频传感器网络中由于数据量大造成的网络拥塞和大能耗问题.
계산、존저공간、전능등자원겁기유한적무선전감기망락절점,난이실현관대음빈、시빈、도상등신호적채집화대류량채양수거적무선전수.침대차문제,결합압축감지이론,제출료일충기우수궤채양적음빈신호채집방안.해방안중음빈채집절점직접대모의적음빈신호진행저속수궤채양,병장소량적저속채양득도적채양치전수지용호단,복잡적신호중건과정화신호분석재용호단완성.재단순수궤채양적기출상,제출료가성적수궤채양시각서렬생성방법、추도료수궤채양등효관측구진,병대수궤채양등효관측구진적성능진행료방진분석.방진실험표명:해방안합리가행,이0.4배내규사특빈솔대음빈신호채양시,신호중건오차저우0.02;이0.5배내규사특빈솔대음빈신호채양시,신호중건오차저우0 .01 .재조성모형하,해방안유일정억제조성공능.해방안재보증신호중건질량적전제하,능구대대강저절점수거채집여전수적능모,종이유효해결무선음빈전감기망락중유우수거량대조성적망락옹새화대능모문제.
WSN faces new challenges brought by high speed audio signal acquisition and large flow sam-pling data transmitting.The main challenge is that the sensor nodes which have limited computing, storage and power resources can hardly meet the requirements of high-speed sampling, real-time processing and transmis-sion of audio signal.In order to further reduce the amount of audio data, the node energy consumption brought by data acquisition and data transmission, an audio signal acquisition scheme as the core of random sampling is proposed in this paper.In this scheme, audio sensor nodes directly sample the analog audio signal randomly by a low speed, which is far below the Nyquist sampling frequency, and then transmit the randomly sampled sam-ples to the client.The complex signal reconstruction and signal analysis would be done by the computer of client. On the basis of previous work, an additive random sampling time sequence generation method was proposed in this paper.The equivalent random sampling observation matrix was deduced, and the performance of the pro-posed measurement matrix was analyzed in the simulation.Simulation results show that the scheme is reasonable and feasible.In the noise model, the proposed scheme has some function to suppress the noise.The scheme un-der the precondition of ensuring the quality of the reconstructed signals greatly reduced the energy consumption of the node for data acquisition and transmission, and effectively solved the problem of network congestion and grea-ter energy consumption in wireless audio sensor networks caused by the large amount of data.