随着先进工艺和技术的不断进步,要想保证数据在高速传输中的正确性,均衡器需要有更高的补偿和更低的功耗,才能实现高效通信。基于12 nm互补金属氧化物半导体工艺,设计了一种高增益、低功耗的自适应连续时间线性均衡器(continuous time l...随着先进工艺和技术的不断进步,要想保证数据在高速传输中的正确性,均衡器需要有更高的补偿和更低的功耗,才能实现高效通信。基于12 nm互补金属氧化物半导体工艺,设计了一种高增益、低功耗的自适应连续时间线性均衡器(continuous time linear equalizer,CTLE),该均衡器采用2级级联结构来补偿信道衰减,并提高接收信号的质量。此外,自适应模块通过采用符号-符号最小均方误差(sign-sign least mean square,SS-LMS)算法,使抽头系数加快了收敛速度。仿真结果表明,当传输速率为16 Gbit/s时,均衡器可以补偿-15.53 dB的半波特率通道衰减,均衡器系数在16×10^(4)个单元间隔数据内收敛,并且收敛之后接收误码率低于10^(-12)。展开更多
针对自行研制的磁悬浮隔振器进行自适应前馈控制,设计了基于滤波x最小均方(Filtered x Least Mean Square——滤波x-LMS)算法的控制律。为了将滤波x-LMS算法应用于带有非线性特性的磁悬浮隔振系统,对滤波x-LMS算法进行了改进。在磁悬浮...针对自行研制的磁悬浮隔振器进行自适应前馈控制,设计了基于滤波x最小均方(Filtered x Least Mean Square——滤波x-LMS)算法的控制律。为了将滤波x-LMS算法应用于带有非线性特性的磁悬浮隔振系统,对滤波x-LMS算法进行了改进。在磁悬浮隔振系统上进行振动主动控制实验,实验结果表明,该控制算法取得了良好的减振效果。展开更多
Adaptive digital self-interference cancellation(ADSIC)is a significant method to suppress self-interference and improve the performance of the linear frequency modulated continuous wave(LFMCW)radar.Due to efficient im...Adaptive digital self-interference cancellation(ADSIC)is a significant method to suppress self-interference and improve the performance of the linear frequency modulated continuous wave(LFMCW)radar.Due to efficient implementation structure,the conventional method based on least mean square(LMS)is widely used,but its performance is not sufficient for LFMCW radar.To achieve a better self-interference cancellation(SIC)result and more optimal radar performance,we present an ADSIC method based on fractional order LMS(FOLMS),which utilizes the multi-path cancellation structure and adaptively updates the weight coefficients of the cancellation system.First,we derive the iterative expression of the weight coefficients by using the fractional order derivative and short-term memory principle.Then,to solve the problem that it is difficult to select the parameters of the proposed method due to the non-stationary characteristics of radar transmitted signals,we construct the performance evaluation model of LFMCW radar,and analyze the relationship between the mean square deviation and the parameters of FOLMS.Finally,the theoretical analysis and simulation results show that the proposed method has a better SIC performance than the conventional methods.展开更多
由于常规电量计量装置是基于正弦波设计的,因此在非正弦条件下进行测量必然带来一定的误差。采用改进的傅氏系数自适应组合估计算法进行谐波检测与功率计算,该方法对非同步采样及初始值不敏感,并能实时跟踪电压与电流的变化。实验表明...由于常规电量计量装置是基于正弦波设计的,因此在非正弦条件下进行测量必然带来一定的误差。采用改进的傅氏系数自适应组合估计算法进行谐波检测与功率计算,该方法对非同步采样及初始值不敏感,并能实时跟踪电压与电流的变化。实验表明一般经过约1个周期便能对受噪声和衰减直流分量污染的非正弦信号进行实时跟踪,从而精确估计出电压与电流各次谐波的幅值及相位,实现功率的实时高精度计算,并且根据输出误差采用变步长的递推最小均方差LMS(Least Mean Square)自适应算法来改善跟踪性能。最后,给出了在计算机上的仿真测试结果,并将该算法和FFT算法进行了对比分析。仿真证明该算法具有精度高、收敛快且测试结果不受频率变化影响的优点。展开更多
文摘随着先进工艺和技术的不断进步,要想保证数据在高速传输中的正确性,均衡器需要有更高的补偿和更低的功耗,才能实现高效通信。基于12 nm互补金属氧化物半导体工艺,设计了一种高增益、低功耗的自适应连续时间线性均衡器(continuous time linear equalizer,CTLE),该均衡器采用2级级联结构来补偿信道衰减,并提高接收信号的质量。此外,自适应模块通过采用符号-符号最小均方误差(sign-sign least mean square,SS-LMS)算法,使抽头系数加快了收敛速度。仿真结果表明,当传输速率为16 Gbit/s时,均衡器可以补偿-15.53 dB的半波特率通道衰减,均衡器系数在16×10^(4)个单元间隔数据内收敛,并且收敛之后接收误码率低于10^(-12)。
文摘针对自行研制的磁悬浮隔振器进行自适应前馈控制,设计了基于滤波x最小均方(Filtered x Least Mean Square——滤波x-LMS)算法的控制律。为了将滤波x-LMS算法应用于带有非线性特性的磁悬浮隔振系统,对滤波x-LMS算法进行了改进。在磁悬浮隔振系统上进行振动主动控制实验,实验结果表明,该控制算法取得了良好的减振效果。
文摘Adaptive digital self-interference cancellation(ADSIC)is a significant method to suppress self-interference and improve the performance of the linear frequency modulated continuous wave(LFMCW)radar.Due to efficient implementation structure,the conventional method based on least mean square(LMS)is widely used,but its performance is not sufficient for LFMCW radar.To achieve a better self-interference cancellation(SIC)result and more optimal radar performance,we present an ADSIC method based on fractional order LMS(FOLMS),which utilizes the multi-path cancellation structure and adaptively updates the weight coefficients of the cancellation system.First,we derive the iterative expression of the weight coefficients by using the fractional order derivative and short-term memory principle.Then,to solve the problem that it is difficult to select the parameters of the proposed method due to the non-stationary characteristics of radar transmitted signals,we construct the performance evaluation model of LFMCW radar,and analyze the relationship between the mean square deviation and the parameters of FOLMS.Finally,the theoretical analysis and simulation results show that the proposed method has a better SIC performance than the conventional methods.
文摘由于常规电量计量装置是基于正弦波设计的,因此在非正弦条件下进行测量必然带来一定的误差。采用改进的傅氏系数自适应组合估计算法进行谐波检测与功率计算,该方法对非同步采样及初始值不敏感,并能实时跟踪电压与电流的变化。实验表明一般经过约1个周期便能对受噪声和衰减直流分量污染的非正弦信号进行实时跟踪,从而精确估计出电压与电流各次谐波的幅值及相位,实现功率的实时高精度计算,并且根据输出误差采用变步长的递推最小均方差LMS(Least Mean Square)自适应算法来改善跟踪性能。最后,给出了在计算机上的仿真测试结果,并将该算法和FFT算法进行了对比分析。仿真证明该算法具有精度高、收敛快且测试结果不受频率变化影响的优点。
