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An Improved DOA Estimation Approach Using Coarray Interpolation and Matrix Denoising.

Muran Guo1,2, Tao Chen3, Ben Wang4,5

  • 1College of Information and Communication Engineering, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China. guomuran@hrbeu.edu.cn.

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|May 17, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel coarray interpolation method using matrix completion (MC) to enhance direction of arrival (DOA) estimation. The technique improves source detection and accuracy, overcoming limitations of traditional methods.

Keywords:
MUSICarray interpolationdirection-of-arrival estimationmatrix denoisingnuclear norm minimization

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Co-prime arrays offer high source detection capabilities but suffer from limited degrees of freedom due to coarray holes.
  • Subspace-based algorithms like spatial smoothing MUSIC are affected by these holes, compromising accuracy.
  • Finite snapshots introduce discrepancies in sample covariance matrices, further degrading Direction of Arrival (DOA) estimation.

Purpose of the Study:

  • To propose a novel coarray interpolation technique for improved DOA estimation.
  • To address the limitations of existing methods, particularly the impact of coarray holes and finite snapshots.
  • To enhance the number of detectable sources and estimation accuracy.

Main Methods:

  • Coarray interpolation based on matrix completion (MC) is employed to fill virtual sensor holes.
  • A denoising operation is applied post-MC to mitigate sample covariance matrix perturbations.
  • The method leverages MC's ability to reconstruct missing data and reduce noise.

Main Results:

  • The proposed method effectively fills holes in virtual sensor arrays.
  • MC-based denoising significantly reduces perturbations in the sample covariance matrix.
  • Numerical simulations demonstrate superior performance in terms of source detection and DOA accuracy compared to existing techniques.

Conclusions:

  • The proposed coarray interpolation with matrix completion and denoising offers a superior approach for DOA estimation.
  • This technique overcomes key limitations of traditional coarray processing, enabling higher accuracy and more source detections.
  • The method shows significant promise for applications requiring precise direction finding in challenging environments.