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相关概念视频

Design Example01:23

Design Example

308
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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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.
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Multi-input and Multi-variable systems01:22

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Signal and System01:26

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A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
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在飞机无线通信中使用混合随机计算的低复杂多个符号检测算法的设计和实施.

Yukai Liu1, Rongke Liu1,2, Kairui Tian1

  • 1School of Electronic and Information Engineering, Beihang University, Beijing 100191, China.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的混合随机计算 (SC) 架构,用于多个符号检测 (MSD) 算法. 新设计显著降低了硬件复杂性,同时在频率调制 (FM) 系统中保持了准确的信号检测.

关键词:
飞机无线通信的无线通信混合随机计算的混合随机计算.多个符号检测多个符号检测.管道管道管道管道管道管道随机添加器 随机添加器 随机添加器

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科学领域:

  • 电气工程 电气工程
  • 信号处理 信号处理
  • 计算机架构 计算机架构

背景情况:

  • 频率调制 (FM) 技术对于飞机的无线通信至关重要,因为它对多普勒转移有很强的抵抗力.
  • 多重符号检测 (MSD) 算法增强了FM解调,但受到高计算复杂性和硬件开销的影响.
  • 现有的MSD实现需要大量的硬件资源,这限制了它们在资源有限的环境中的实际应用.

研究的目的:

  • 提出一种新的多重符号检测 (MSD) 架构,利用混合随机计算 (SC) 来降低硬件复杂性.
  • 保持与传统方法相比的信号检测准确度,同时显著降低资源需求.
  • 通过优化相关性和符号决策过程来解决MSD中的计算瓶.

主要方法:

  • 开发了一个低复杂度的基于随机计算 (SC) 的单元,用于高效的复杂相关性计算.
  • 集成了一个灵活的,可扩展的随机加法器,具有可调节的缩放因子,以提高相关性区分能力.
  • 设计了一个基于二进制计算的管道架构,用于符号决策过程的串行执行,利用SC的低更新率.

主要成果:

  • 拟议的基于SC的混合MSD架构实现了与8位量子化MSD实现相比较的位误差率.
  • 观察到显著的硬件资源减少:69%的3符号,45%的5符号和36%的7符号MSD算法.
  • 基于SC的关联单元和管道架构有效地将计算负载和硬件开销降到最低.

结论:

  • 混合随机计算为开发低复杂性,高性能MSD架构提供了可行的解决方案.
  • 拟议的架构可以显著减少硬件资源,而不会影响信号检测的准确性.
  • 这种方法非常适合在飞机无线通信和其他FM系统中的资源有限的应用.