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Related Concept Videos

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

32
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...
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Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

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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...
33

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A Combined Filtering Method for ZigBee Indoor Distance Measurement.

Zhe Wei1, Zhanpeng Zhou1

  • 1School of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
Summary

This study enhances indoor distance measurement using Zigbee Received Signal Strength Indication (RSSI) by combining multiple filters. The new method significantly improves accuracy, reducing average error to 0.46m for better indoor positioning.

Keywords:
RSSIZigbeecombined filteringindoor distance measurementindoor positioning

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Area of Science:

  • Wireless sensor networks
  • Indoor positioning systems
  • Signal processing

Background:

  • Zigbee's Received Signal Strength Indication (RSSI) is cost-effective for indoor distance measurement.
  • Multipath effects, signal attenuation, and blockage degrade RSSI-based distance accuracy.
  • Existing methods struggle with the inherent inaccuracies of RSSI in complex indoor environments.

Purpose of the Study:

  • To develop a robust indoor distance measurement technique using Zigbee RSSI.
  • To mitigate the impact of environmental factors on measurement accuracy.
  • To enhance the reliability of indoor positioning systems.

Main Methods:

  • A combined filtering approach integrating Kalman filtering, Dixon's Q-test, Gaussian filtering, and mean filtering was proposed.
  • Zigbee transmission power and channel parameters were evaluated for their impact on RSSI.
  • A signal propagation loss model was fitted using measured data to analyze filtering effects.

Main Results:

  • The combined filtering approach significantly improved the RSSI-to-distance conversion accuracy.
  • The average distance measurement error was reduced to approximately 0.46 m.
  • Performance substantially outperformed raw RSSI data measurements.

Conclusions:

  • The proposed filtering method enhances indoor distance measurement accuracy using Zigbee RSSI.
  • This technique offers a viable solution for reliable indoor positioning applications.
  • The study demonstrates the effectiveness of data fusion and filtering in overcoming RSSI limitations.