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A Direct Coarray Interpolation Approach for Direction Finding.

Tao Chen1, Muran Guo2,3, Limin Guo4

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

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Summary
This summary is machine-generated.

This study introduces a novel direct coarray interpolation method for direction of arrival (DOA) estimation using sparse coprime arrays. The new approach enhances accuracy and angular resolution while reducing computational complexity.

Keywords:
DOA estimationMUSICcoarray interpolationnuclear normsparse array

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Sparse arrays offer enhanced source resolution compared to sensor count.
  • Coprime arrays provide closed-form solutions and mitigate mutual coupling but suffer from coarray 'holes'.
  • Existing coarray interpolation methods have limitations in performance and complexity.

Purpose of the Study:

  • To propose a novel direct coarray interpolation approach for direction of arrival (DOA) estimation.
  • To overcome the performance limitations of subspace-based DOA algorithms caused by coarray holes in coprime arrays.
  • To improve accuracy, reduce complexity, and enhance angular resolution in DOA estimation.

Main Methods:

  • Development of a direct coarray interpolation technique.
  • Elimination of reshaping and spatial smoothing operations required by previous coarray-based methods.
  • Validation through numerical simulations.

Main Results:

  • The proposed direct coarray interpolation method significantly improves DOA estimation accuracy.
  • The approach achieves lower computational complexity compared to existing methods.
  • Enhanced angular resolution capabilities are demonstrated.

Conclusions:

  • The novel direct coarray interpolation approach effectively addresses limitations in coprime array-based DOA estimation.
  • This method offers a more accurate and computationally efficient solution for direction finding.
  • The technique shows promise for improved performance in various array signal processing applications.