小型微型计算机系统
小型微型計算機繫統
소형미형계산궤계통
MINI-MICRO SYSTEMS
2010年
1期
190-192
,共3页
梁志强%魏建明%赵俊钰%刘海涛
樑誌彊%魏建明%趙俊鈺%劉海濤
량지강%위건명%조준옥%류해도
负熵%无线传感器网络%模式识别%人员脚步%高阶累积量
負熵%無線傳感器網絡%模式識彆%人員腳步%高階纍積量
부적%무선전감기망락%모식식별%인원각보%고계루적량
negentropy%wireless sensors network%pattern recognition%person footstep%high-order cumulants
提出一种基于震动信号的人员脚步检测识别算法,该算法根据信息论中的负熵概念,采用高阶累积量的负熵近似计算方法.仿真与实测结果证明,与一般的模式识别算法相比,该算法具有三个重要的优点,包括环境适应性强、识别准确率高和运算量小.这些优点使得该算法更适用于能量受限、随机自组的无线传感器网络,能够在野外环境下准确、简单的检测识别人员脚步震动信号.
提齣一種基于震動信號的人員腳步檢測識彆算法,該算法根據信息論中的負熵概唸,採用高階纍積量的負熵近似計算方法.倣真與實測結果證明,與一般的模式識彆算法相比,該算法具有三箇重要的優點,包括環境適應性彊、識彆準確率高和運算量小.這些優點使得該算法更適用于能量受限、隨機自組的無線傳感器網絡,能夠在野外環境下準確、簡單的檢測識彆人員腳步震動信號.
제출일충기우진동신호적인원각보검측식별산법,해산법근거신식론중적부적개념,채용고계루적량적부적근사계산방법.방진여실측결과증명,여일반적모식식별산법상비,해산법구유삼개중요적우점,포괄배경괄응성강、식별준학솔고화운산량소.저사우점사득해산법경괄용우능량수한、수궤자조적무선전감기망락,능구재야외배경하준학、간단적검측식별인원각보진동신호.
This paper provides an algorithm for person footstep detection and identification of seismic signal. This algorithm makes use of the computational method of negentropy which is based on high-order cumulants according to information theory. Simulation and implementation results proves that the algorithm described in this paper shows high performance that includes better adaptability to en-vironments, more accurateness of identification and less computational resource compared with general pattern recognition algorithm. These advantages make the algorithm more adaptable to energy-limited and random-organized Wireless Sensors Network (WSN) and ensure the accurateness and simpleness in person footstep identification under open country.