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A Sparse-Based Off-Grid DOA Estimation Method for Coprime Arrays.

Weijian Si1, Fuhong Zeng2, Changbo Hou3

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

Sensors (Basel, Switzerland)
|September 12, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel sparse-based method for direction-of-arrival (DOA) estimation using coprime arrays, effectively addressing the grid mismatch problem for improved accuracy.

Keywords:
DOA estimationcoprime arraysgrid biasesoff-gridsparse-based methods

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Sparse-based direction-of-arrival (DOA) estimation methods are popular for coprime arrays.
  • Existing methods suffer from grid mismatch, degrading performance for off-grid targets.
  • Grid mismatch arises from discretizing the potential angle space.

Purpose of the Study:

  • To propose a novel sparse-based off-grid DOA estimation method for coprime arrays.
  • To overcome the performance degradation caused by the grid mismatch problem.
  • To achieve accurate DOA estimation even when targets are off-grid.

Main Methods:

  • A two-part approach: coarse estimation and fine estimation.
  • Coarse estimation solves an optimization problem based on covariance matrix error to find coarse DOAs.
  • Fine estimation removes signal-noise correlations and uses a two-step iteration to refine grid biases.

Main Results:

  • The proposed method effectively estimates DOAs for off-grid targets.
  • Eliminates unknown noise variance via linear transformation.
  • Simulation results demonstrate the method's effectiveness.

Conclusions:

  • The developed sparse-based off-grid DOA estimation method enhances accuracy for coprime arrays.
  • The method successfully mitigates the grid mismatch problem.
  • Validated effectiveness through simulations, offering improved DOA estimation performance.