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A Modified Rife Algorithm for Off-Grid DOA Estimation Based on Sparse Representations.

Tao Chen1, Huanxin Wu2, Limin Guo3

  • 1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. chentao@hrbeu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a new method for off-grid direction of arrival (DOA) estimation using sparse representations. The approach reduces computational complexity and improves accuracy by converting multiple measurement vectors (MMV) to a single measurement vector (SMV) problem.

Keywords:
Rife algorithmdirection of arrival (DOA) estimationeigenvalue decomposition (EVD)off-gridsparse representations

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Direction of Arrival (DOA) estimation is crucial in various applications.
  • Existing sparse DOA estimation methods face limitations with discrete angular grids and high computational complexity.
  • Multiple Measurement Vectors (MMV) present a more complex scenario for DOA estimation.

Purpose of the Study:

  • To propose a novel off-grid DOA estimation method for MMV scenarios.
  • To reduce the computational complexity of MMV DOA estimation.
  • To enhance DOA estimation accuracy by overcoming grid limitations.

Main Methods:

  • Transforming the MMV problem into a Single Measurement Vector (SMV) problem.
  • Utilizing sparse representations based on weighted eigenvectors (SRBWEV).
  • Employing a modified Rife algorithm for DOA estimation (MRife-DOA) with a coarse-to-fine approach.

Main Results:

  • The proposed SRBWEV method effectively converts MMV to SMV.
  • The algorithm demonstrates lower computational complexity compared to existing MMV DOA algorithms.
  • Improved DOA estimation accuracy is achieved by mitigating the grid effect.

Conclusions:

  • The novel SRBWEV method offers an effective solution for off-grid DOA estimation in MMV scenarios.
  • The proposed approach achieves reduced complexity and enhanced accuracy.
  • Simulation results validate the effectiveness of the MRife-DOA algorithm based on SRBWEV.