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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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Joint Angle and Frequency Estimation Using One-Bit Measurements.

Zeyang Li1,2, Junpeng Shi3, Xinhai Wang4

  • 1National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China.

Sensors (Basel, Switzerland)
|December 15, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for angle and frequency estimation using one-bit measurements in sensor arrays. The proposed technique enables quick and accurate estimations, overcoming limitations of traditional methods requiring precise data.

Keywords:
angle and frequency estimationarray signal processingone-bit quantificationparallel factor analysis

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Area of Science:

  • Array signal processing
  • Sensor array estimation

Background:

  • Angle and frequency estimation is crucial for radar, sonar, and wireless communications.
  • Existing algorithms require accurately quantified measurements, limiting their application.

Purpose of the Study:

  • To address angle and frequency estimation using one-bit measurements.
  • To develop a robust estimation method for sensor arrays with limited data precision.

Main Methods:

  • Extended the relationship between covariance matrices of one-bit and accurately quantified measurements to the tensor domain.
  • Proposed a one-bit parallel factor analysis (PARAFAC) estimator.

Main Results:

  • Demonstrated that angle and frequency estimation can be rapidly achieved with one-bit measurements.
  • Showcased accurate pairing of estimated angles and frequencies.

Conclusions:

  • The proposed one-bit PARAFAC estimator effectively handles angle and frequency estimation with reduced measurement precision.
  • This method offers a viable solution for applications where high-precision measurements are challenging.