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Array Diagnosis and DOA Estimation for Coprime Array under Sensor Failures.

Bing Sun1, Chenxi Wu1, Huailin Ruan1

  • 1College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China.

Sensors (Basel, Switzerland)
|May 15, 2020
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Summary
This summary is machine-generated.

This study introduces a new method to accurately estimate the direction of arrival (DOA) for coprime arrays even when sensors fail. The approach diagnoses failures and uses specialized algorithms to maintain high accuracy in direction finding.

Keywords:
coprime arraydirection of arrival (DOA)matrix reconstructionredundant sensorssensor failure

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Coprime arrays offer high degrees of freedom (DOFs) but are vulnerable to sensor failures, which can degrade direction finding performance.
  • Sensor failures disrupt the difference coarray structure, potentially leading to decreased DOFs and DOA estimation failure.
  • Robust DOA estimation for coprime arrays with sensor failures is a critical challenge in array signal processing.

Purpose of the Study:

  • To develop a robust method for direction of arrival (DOA) estimation in coprime arrays despite sensor failures.
  • To introduce an efficient detection strategy for diagnosing sensor failures in coprime arrays.
  • To adapt existing DOA algorithms or propose new ones to handle different sensor failure scenarios.

Main Methods:

  • A sensor failure detection strategy is proposed to diagnose the coprime array.
  • Two failure scenarios are considered: redundant and non-redundant sensor failures.
  • For non-redundant failures, Singular Value Thresholding (SVT) is used for covariance matrix reconstruction to fill 'holes' in the difference coarray, followed by root-MUSIC for DOA estimation. For redundant failures, coarray MUSIC (CO-MUSIC) is applied.

Main Results:

  • The proposed detection strategy effectively diagnoses sensor failures in coprime arrays.
  • The adapted DOA estimation methods maintain performance in both redundant and non-redundant sensor failure scenarios.
  • Simulation results demonstrate the effectiveness of the proposed approach in handling sensor failures for accurate DOA estimation.

Conclusions:

  • The developed methods provide a robust solution for DOA estimation with coprime arrays experiencing sensor failures.
  • The strategy effectively addresses the challenges posed by the sensitivity of difference coarray structures to sensor malfunctions.
  • The research contributes to reliable array signal processing techniques in practical scenarios with potential sensor degradation.