无线电工程
無線電工程
무선전공정
RADIO ENGINEERING OF CHINA
2012年
12期
51-54
,共4页
强噪声%车辆震动%信号检测%功率谱分布%负熵
彊譟聲%車輛震動%信號檢測%功率譜分佈%負熵
강조성%차량진동%신호검측%공솔보분포%부적
strong noise%vehicle seismicity%signal detection%power spectrum distribution%negentropy
针对强噪声背景下车辆震动信号检测问题，结合车辆震动信号特点，提出了2种检测算法：基于功率谱分布的检测算法和基于负熵的检测算法，并将小波去噪用于强噪声背景下地震动信号的提取。该算法与一般检测算法相比具有环境适应性强、检测准确率高和运算量小的特点，这些优点使得该算法更适用于能量受限、工作环境复杂的无线传感网络。仿真结果表明该算法具有很高的检测准确率。
針對彊譟聲揹景下車輛震動信號檢測問題，結閤車輛震動信號特點，提齣瞭2種檢測算法：基于功率譜分佈的檢測算法和基于負熵的檢測算法，併將小波去譟用于彊譟聲揹景下地震動信號的提取。該算法與一般檢測算法相比具有環境適應性彊、檢測準確率高和運算量小的特點，這些優點使得該算法更適用于能量受限、工作環境複雜的無線傳感網絡。倣真結果錶明該算法具有很高的檢測準確率。
침대강조성배경하차량진동신호검측문제，결합차량진동신호특점，제출료2충검측산법：기우공솔보분포적검측산법화기우부적적검측산법，병장소파거조용우강조성배경하지진동신호적제취。해산법여일반검측산법상비구유배경괄응성강、검측준학솔고화운산량소적특점，저사우점사득해산법경괄용우능량수한、공작배경복잡적무선전감망락。방진결과표명해산법구유흔고적검측준학솔。
To address the issue of detecting vehicle seismic signals in strong noise environment and combining with the characteristics of vehicle seismic signals, two signal detection algorithms based on power spectrum distribution and negentropy respectively are proposed. And wavelet denoising is used to extract the seismic signals. The algorithms described in this paper show better adaptability to environment, high detection accuracy and less computational complexity compared with common detection algorithms, which make the algorithms more adaptable to energy-limited and environment-complicated wireless sensor networks. Simulation results prove that the algorithms have high detection accuracy.
