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Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital

Bong-Seok Kim1, Youngseok Jin1, Jonghun Lee1

  • 1Advanced Radar Technology Laboratory, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea.

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|August 6, 2020
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Summary
This summary is machine-generated.

This study introduces a low-complexity Direction-of-Arrival (DOA) algorithm for vital radars. It reduces computational load by intelligently selecting sensor channels, achieving over 40% complexity reduction with comparable performance.

Keywords:
FMCWMUSICarray spacinglow complexity

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Area of Science:

  • Radar Signal Processing
  • Array Signal Processing

Background:

  • Direction-of-Arrival (DOA) estimation is crucial for radar systems.
  • Conventional Multiple-Signal-Classification (MUSIC) algorithms offer high accuracy but suffer from high computational complexity.
  • Frequency-Modulated Continuous-Wave (FMCW) vital radars require efficient DOA estimation for applications like human activity monitoring.

Purpose of the Study:

  • To propose a novel, low-complexity MUSIC-based DOA detection algorithm for FMCW vital radars.
  • To significantly reduce the computational complexity of DOA estimation without compromising performance.
  • To enhance the practical applicability of DOA algorithms in resource-constrained vital radar systems.

Main Methods:

  • The algorithm utilizes the Fast Fourier Transform (FFT) for initial coarse DOA estimation.
  • It adaptively selects the number of sensor channels for the MUSIC algorithm based on the coarse DOA estimate.
  • Channel selection leverages the trade-off between Field of View (FOV) and resolution by effectively altering array element spacing.

Main Results:

  • Achieved over 40% reduction in computational complexity compared to conventional MUSIC algorithms.
  • Demonstrated comparable DOA estimation performance to the standard MUSIC algorithm.
  • Successfully distinguished adjacent DOAs in experimental tests within a practical environment.

Conclusions:

  • The proposed algorithm offers a significant complexity reduction for DOA estimation in FMCW vital radars.
  • It maintains high accuracy and the ability to resolve closely spaced targets.
  • This low-complexity approach makes advanced DOA estimation more feasible for vital radar applications.