电测与仪表
電測與儀錶
전측여의표
ELECTRICAL MEASUREMENT & INSTRUMENTATION
2015年
14期
86-92
,共7页
瞬时频率估计%非线性度检测%滑动分数阶傅里叶变换%混沌优化
瞬時頻率估計%非線性度檢測%滑動分數階傅裏葉變換%混沌優化
순시빈솔고계%비선성도검측%활동분수계부리협변환%혼돈우화
instantaneous frequency estimation%non-linearity detection%sliding Fractional Fourier Transform( FrFT)%chaos optimization
为提高现有方法在精度、抗噪性和实时性方面的性能,提出一种基于滑动分数阶傅里叶变换( Fractional Fourier Transform,FrFT)瞬时频率估计的压控振荡器( Voltage Controlled Oscillator,VCO)非线性度检测方法。首先通过滑动重叠分段VCO的输出信号减少频谱泄漏,提高抗噪性;然后利用滑动FrFT在分析非平稳信号尤其是线性调频信号时的独特优势,检测出分段信号中间时刻点的频率,重点阐述了通过黄金分割和混沌优化相结合的方法快速搜索滑动FrFT的最佳分数阶比,确保算法实时性能的过程;最后,通过中间时刻点频率的三次样条插值以提高精度。仿真结果表明,与现有方法相比,文中方法在信噪比为-5 dB~5 dB的实验环境下具有更好的性能,且计算量适中。
為提高現有方法在精度、抗譟性和實時性方麵的性能,提齣一種基于滑動分數階傅裏葉變換( Fractional Fourier Transform,FrFT)瞬時頻率估計的壓控振盪器( Voltage Controlled Oscillator,VCO)非線性度檢測方法。首先通過滑動重疊分段VCO的輸齣信號減少頻譜洩漏,提高抗譟性;然後利用滑動FrFT在分析非平穩信號尤其是線性調頻信號時的獨特優勢,檢測齣分段信號中間時刻點的頻率,重點闡述瞭通過黃金分割和混沌優化相結閤的方法快速搜索滑動FrFT的最佳分數階比,確保算法實時性能的過程;最後,通過中間時刻點頻率的三次樣條插值以提高精度。倣真結果錶明,與現有方法相比,文中方法在信譟比為-5 dB~5 dB的實驗環境下具有更好的性能,且計算量適中。
위제고현유방법재정도、항조성화실시성방면적성능,제출일충기우활동분수계부리협변환( Fractional Fourier Transform,FrFT)순시빈솔고계적압공진탕기( Voltage Controlled Oscillator,VCO)비선성도검측방법。수선통과활동중첩분단VCO적수출신호감소빈보설루,제고항조성;연후이용활동FrFT재분석비평은신호우기시선성조빈신호시적독특우세,검측출분단신호중간시각점적빈솔,중점천술료통과황금분할화혼돈우화상결합적방법쾌속수색활동FrFT적최가분수계비,학보산법실시성능적과정;최후,통과중간시각점빈솔적삼차양조삽치이제고정도。방진결과표명,여현유방법상비,문중방법재신조비위-5 dB~5 dB적실험배경하구유경호적성능,차계산량괄중。
To improve the precision, anti-noise and the real-time performance of VCO non-linearity detection methods presently, a new method based on sliding Fractional Fourier Transform ( FrFT) for instantaneous frequency estimation was proposed.Firstly, this method overlapped sliding to intercept the estimated signal to improve the anti-noise per-formance, and then got middle-time′instantaneous frequencies of all intercept signals by sliding FrFT, and improved the real-time performance by golden section and chaos optimization method searching the optimal order of sliding Fr-FT.Finally, it got a more precise instantaneous frequency by cubic splines interpolation between those middle-time’ instantaneous frequencies.Experiment results show the proposed method has better performance than existing methods at Signal Noise Ratio (SNR) from -5dB to 5dB with a suitable calculation.