移动互联网智能家居控制信号测试技术优化  

Optimization of the control signal test technology for mobile internet home

作　　者：陆兴华[1] 翟倩[1] Lu Xinghua;Zhai Qian(Huali College,Guangdong University of Technology,Guangzhou 511325,China)

机构地区：[1]广东工业大学华立学院,广州511325

出　　处：《电子测量技术》2020年第6期148-152,共5页Electronic Measurement Technology

基　　金：2016年广东省教育厅重点平台及科研项目青年创新人才类项目(自然科学类)(2016KQNCX215)资助。

摘　　要：为了提高移动互联网环境下智能家居控制信号的检测能力,提出基于参量估计和快速信号处理的移动互联网智能家居控制信号测试方法。构建移动互联网智能家居控制信号离散序列分布模型,采用小波降噪方法进行移动互联网智能家居控制输出信号的滤波处理,抑制信号传输过程中的干扰频谱特征分量,提取智能家居控制信号的统计特征量,采用联合参量估计方法估计家居控制信号的尺度和时延等参量,进行控制信号的高分辨谱特征提取,对提取的谱特征量采用快速DSP信号处理器进行自适应学习和在线测试,实现智能家居控制信号的自动检测和识别。仿真结果表明,采用该方法进行移动互联网智能家居控制信号测试的抗干扰性较强,对控制信号输出的检测识别率较高,提高了智能家居控制信号的并行传输能力。In order to improve the detection ability of smart home control signal in mobile Internet environment,a mobile Internet smart home control signal testing method based on parameter estimation and fast signal processing is proposed.The discrete sequence distribution model of smart home control signal in mobile Internet is constructed.Wavelet denoising method is used to filter the output signal of smart home control in mobile Internet,the interference spectrum characteristic components in the process of signal transmission are suppressed,the statistical characteristic quantity of smart home control signal is extracted,and the scale and delay of home control signal are estimated adaptively by joint parameter estimation method.The high resolution spectral feature extraction of the control signal is carried out,and the fast DSP signal processor is used for adaptive learning and online testing to realize the automatic detection and recognition of the smart home control signal.The simulation results show that the method has strong anti-interference ability,high detection and recognition rate of control signal output,and improves the parallel transmission ability of smart home control signal.

关 键 词：DSP 移动互联网 智能家居 控制信号 测试 

分 类 号：TN911[电子电信—通信与信息系统]