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相关概念视频

Active Filters01:25

Active Filters

924
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
924
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

131
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
131
Aliasing01:18

Aliasing

224
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
224
Passive Filters01:27

Passive Filters

606
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
606
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

335
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
335
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

224
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
224

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Updated: Sep 9, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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基于模糊逻辑的适应过用于转移对齐

Zhaohui Gao1, Jiahui Yang2, Chengfan Gu3

  • 1School of Electronic Engineering, Xi'an Shiyou University, Xi'an 710065, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个模糊的逻辑适应波器,以提高带式惯性导航系统 (SINS) 的转移对准度. 这种新方法通过有效地管理系统模型错误来提高SINS状态估计,达到超过18%的精度.

关键词:
适应性强过模糊的逻辑理论带下惯性导航转移对齐

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科学领域:

  • 导航系统
  • 控制理论
  • 信号处理

背景情况:

  • 机载战术车辆需要精确的转移对齐.
  • 卡尔曼过器中的系统模型错误会降低SINS状态估计的准确性.

研究的目的:

  • 开发一种基于模糊逻辑的适应性选方法,用于SINS转移对齐.
  • 减轻系统模型错误对SINS状态估计的影响.

主要方法:

  • 设计了一个基于模糊逻辑的自适应过方法,用于SINS转移对齐.
  • 在卡尔曼波器框架中嵌入状态和测量误差模型.
  • 使用模糊规则来估计系统测量,并通过最小化余量来预测状态共差.

主要成果:

  • 提出的方法有效地处理SINS转移对齐中的系统模型错误.
  • 与基准方法相比,至少达到18.83%的准确性.
  • 模拟和实验验证了该方法的性能.

结论:

  • 模糊逻辑自适应波器显著提高了SINS传输对齐的准确性.
  • 这种方法为空中战术车辆导航提供了强大的解决方案.
  • 该方法在管理模型不确定性方面表现出卓越的表现.