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Real-Valued 2D MUSIC Algorithm Based on Modified Forward/Backward Averaging Using an Arbitrary Centrosymmetric

Weijian Si1, Yan Wang2, Changbo Hou3

  • 1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. swj0418@263.net.

Sensors (Basel, Switzerland)
|September 30, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a real-valued two-dimensional MUSIC algorithm for polarization sensitive arrays. It significantly reduces computational complexity for direction-of-arrival estimation while maintaining high accuracy.

Keywords:
2D DOA estimationCramer-Rao boundMUSICdimension reductionforward/backward averagingpolarization sensitive arrayreal-valued operations

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Two-dimensional Multiple Signal Classification (MUSIC) algorithms using Polarization Sensitive Arrays (PSA) offer excellent performance.
  • High computational complexity is a major limitation of existing 2D MUSIC algorithms.

Purpose of the Study:

  • To propose a novel real-valued 2D MUSIC algorithm applicable to arbitrary centrosymmetric PSAs.
  • To significantly reduce the computational complexity of 2D MUSIC DOA estimation.
  • To decouple DOA estimation from polarization parameter estimation.

Main Methods:

  • Developed a real-valued 2D MUSIC algorithm based on a conjugate centrosymmetric signal model.
  • Applied modified forward/backward averaging to the PSA.
  • Converted eigen-decomposition and spectrum computation to the real domain.
  • Decoupled Direction-of-Arrival (DOA) and polarization parameter estimation.

Main Results:

  • Achieved a prominent reduction in computational complexity.
  • Eliminated the need for a four-dimensional spectral peak search.
  • Derived the Cramer-Rao bound (CRB) for DOA estimation.
  • Simulation results demonstrate superior accuracy and low computational cost.

Conclusions:

  • The proposed real-valued 2D MUSIC algorithm offers a computationally efficient and accurate solution for DOA estimation with PSAs.
  • The method is suitable for arbitrary centrosymmetric PSAs.
  • This advancement addresses the key challenge of high computational load in 2D MUSIC algorithms.