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Meter Wave Polarization-Sensitive Array Radar for Height Measurement Based on MUSIC Algorithm.

Guoxuan Wang1, Guimei Zheng2, Hongzhen Wang1

  • 1Graduate School, Air Force Engineering University, Xi'an 710051, China.

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|October 14, 2022
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Summary
This summary is machine-generated.

This study introduces a new polarization synthesis steering vector MUSIC algorithm to improve meter wave radar measurement accuracy in low-elevation environments. The enhanced method reduces computational complexity and improves angle and height estimation, overcoming limitations of previous algorithms.

Keywords:
MUSICheight measurementmeter wave radarpolarization-sensitive array

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Area of Science:

  • Radar Signal Processing
  • Electromagnetics and Wave Propagation
  • Array Signal Processing

Background:

  • Meter wave radar measurement performance is challenged by multipath effects, particularly in low-elevation scenarios, degrading accuracy.
  • Existing generalized Multiple Signal Classification (MUSIC) algorithms, while avoiding decorrelation, suffer from high computational complexity and limitations in accuracy and polarization parameter estimation.
  • Polarization-Sensitive Arrays (PSA) offer polarization diversity, but polarization smoothing generalized MUSIC still requires improvements for practical applications.

Purpose of the Study:

  • To address the limitations of existing algorithms for meter wave radar in low-elevation environments.
  • To develop a novel algorithm that enhances angle estimation accuracy, reduces computational complexity, and enables polarization parameter estimation.
  • To improve target height measurement capabilities using radar data.

Main Methods:

  • Proposed a polarization synthesis steering vector MUSIC algorithm.
  • Utilized the MUSIC algorithm to obtain the spatial spectrum of the meter wave PSA.
  • Employed the Rayleigh-Ritz method for angle decomposition to decouple polarization and direction of arrival (DOA).
  • Incorporated geometric relationships and prior information of direct and reflected waves for dimension reduction.
  • Applied geometric relationships for target height measurement.

Main Results:

  • The proposed algorithm significantly reduces computational complexity compared to prior methods.
  • Demonstrated improved accuracy in angle estimation and higher discrimination success probability.
  • Successfully enabled the estimation of polarization parameters, a capability lacking in previous approaches.
  • Achieved accurate target height measurements through geometric relationship utilization.

Conclusions:

  • The polarization synthesis steering vector MUSIC algorithm offers a superior solution for meter wave radar measurements in challenging low-elevation environments.
  • The algorithm effectively overcomes the limitations of existing methods by enhancing accuracy, reducing complexity, and providing polarization information.
  • Simulation results validate the algorithm's accuracy and superiority, paving the way for advanced radar applications.