东南大学学报(自然科学版)
東南大學學報(自然科學版)
동남대학학보(자연과학판)
JOURNAL OF SOUTHEAST UNIVERSITY
2009年
5期
904-908
,共5页
刘少强%汪立林%王爱民%李勇周%庞新苗
劉少彊%汪立林%王愛民%李勇週%龐新苗
류소강%왕립림%왕애민%리용주%방신묘
伪周期信号%在线处理%模板参数估计%傅立叶级数%资源有限系统
偽週期信號%在線處理%模闆參數估計%傅立葉級數%資源有限繫統
위주기신호%재선처리%모판삼수고계%부립협급수%자원유한계통
pseudo-periodic signal%on-line processing%template parameter estimation%Fourier se-ries%resource-constrained system
为适应资源有限系统对伪周期信号在线时域处理及数据压缩的要求,提出了一种模板参数估计简化方法.首先,将伪周期信号的每个一循环视为单周期信号,并以模板与单周期信号的均方误差作为目标函数,选择傅立叶级数作为模板.然后,根据两相邻周期信号的极大点或极小点位置差估计模板函数基频,利用三角函数正交性直接计算傅氏系数及误差指标,并通过预测与在线调整级数阶次,快速确定出给定精度下的最佳模板阶次.通过进一步在线微调信号周期,改善基频估计的准确性,得到符合精度要求的各伪周期信号模板参数.最后,基于超低功耗微控制器实现了对伪周期信号脉搏波的时域处理实验.实验结果表明,该方法简单有效,有利于减小计算功耗,适用于无线传感器节点等资源有限系统.
為適應資源有限繫統對偽週期信號在線時域處理及數據壓縮的要求,提齣瞭一種模闆參數估計簡化方法.首先,將偽週期信號的每箇一循環視為單週期信號,併以模闆與單週期信號的均方誤差作為目標函數,選擇傅立葉級數作為模闆.然後,根據兩相鄰週期信號的極大點或極小點位置差估計模闆函數基頻,利用三角函數正交性直接計算傅氏繫數及誤差指標,併通過預測與在線調整級數階次,快速確定齣給定精度下的最佳模闆階次.通過進一步在線微調信號週期,改善基頻估計的準確性,得到符閤精度要求的各偽週期信號模闆參數.最後,基于超低功耗微控製器實現瞭對偽週期信號脈搏波的時域處理實驗.實驗結果錶明,該方法簡單有效,有利于減小計算功耗,適用于無線傳感器節點等資源有限繫統.
위괄응자원유한계통대위주기신호재선시역처리급수거압축적요구,제출료일충모판삼수고계간화방법.수선,장위주기신호적매개일순배시위단주기신호,병이모판여단주기신호적균방오차작위목표함수,선택부립협급수작위모판.연후,근거량상린주기신호적겁대점혹겁소점위치차고계모판함수기빈,이용삼각함수정교성직접계산부씨계수급오차지표,병통과예측여재선조정급수계차,쾌속학정출급정정도하적최가모판계차.통과진일보재선미조신호주기,개선기빈고계적준학성,득도부합정도요구적각위주기신호모판삼수.최후,기우초저공모미공제기실현료대위주기신호맥박파적시역처리실험.실험결과표명,해방법간단유효,유리우감소계산공모,괄용우무선전감기절점등자원유한계통.
In order to process pseudo-periodic signals on-line in time domain and data compression in hardware resource-constrained systems, a simplified method of template parameters estimation is presented. First, considering each cycle of pseudo-periodic signals as one single periodic and taking the mean square error between the template and measurements as a cost function, Fourier series is used as the template of the pseudo-periodic signal. Then, the fundamental frequency of the series is estimated by measuring the distance of the maximums or the minimums between each successive cyclic signal. With the orthogonality of trigonometric function, the Fourier coefficients and the error index are computed, and the best degree of series for a given tolerance can be quickly determined by predicting and on-line adjusting the degree of the series. Furthermore, through nicely adjusting the period of current cycle on-line, the matched errors are below the given tolerance, and therefore the coefficients corresponding to each pseudo-period can be refined. Finally, based on an ultra-low power microcontroller, the pseudo-periodic pulse wave on-line processing is implemented. The experimental results show that this method is simple and valid. It is helpful to reduce the power dissipation of computation and adaptive to resource-constrained system such as wireless sensors.