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相关概念视频

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

26
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
26
Echo01:06

Echo

486
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
486
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

27
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
27

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相关实验视频

Updated: May 31, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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基于传输信号和接收波设计的计波多输入多输出雷达的高度测量方法

Cong Qin1,2,3, Qin Zhang1, Guimei Zheng1

  • 1Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China.

Sensors (Basel, Switzerland)
|January 25, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的高度测量方法,用于米波多进多输出 (MIMO) 雷达,增强低高度目标检测. 认知方法优化传输信号和接收波器,以提高准确性和降低复杂性.

关键词:
这是一个MIMO雷达.波束成形技术的使用认知处理方法是认知处理方法.测量高度的测量方法传输信号和接收波器的联合优化.

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科学领域:

  • 雷达系统工程 雷达系统工程
  • 信号处理 信号处理
  • 电磁学 电磁学 电磁学 电磁学

背景情况:

  • 低海拔目标高度测量在雷达系统中存在重大挑战.
  • 现有的方法与直接和反射波作干扰作斗争.
  • 多输入多输出 (MIMO) 雷达具有潜力,但需要先进的信号处理技术.

研究的目的:

  • 用米波MIMO雷达开发一种有效的高度测量方法,用于低海拔目标.
  • 整合光束成形和认知处理,以增强目标检测.
  • 优化传输信号和接收波器,以提高信号与干扰加噪声比 (SINR).

主要方法:

  • 在低海拔场景中建立和分析计波MIMO雷达的信号模型.
  • 为传输信号和接收波器开发一个联合优化束形算法.
  • 将一个非凸的优化问题转化为两个子问题,通过交替代来解决.

主要成果:

  • 拟议的算法成功实现了低海拔目标的高度测量.
  • 与通用多重信号分类 (GMUSIC) 和最大概率 (ML) 算法相比,模拟结果显示出更高的性能.
  • 该方法显示了改进的计算复杂性和多目标高度估计能力.

结论:

  • 这种新的认知处理方法为MIMO雷达中低海拔目标高度测量提供了强大的解决方案.
  • 这种方法通过有效管理干扰和优化信号处理来提高雷达系统性能.
  • 该算法为需要在低高度角度精确估计高度的雷达应用提供了有希望的进步.