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Enhanced Coprime Array Structure and DOA Estimation Algorithm for Coherent Sources.

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  • 1Institute of IoT Engineering, Shanghai Business School, Shanghai 201400, China.

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Summary
This summary is machine-generated.

This study introduces an enhanced coprime array for direction of arrival (DOA) estimation, improving coherent source identification. The novel approach enhances spatial smoothing for superior noise reduction and DOA accuracy.

Keywords:
array processingcoherent signalsdirection of arrival (DOA) estimationenhanced coprime arrayspatial smoothing

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Coprime arrays offer advantages over uniform linear arrays for direction of arrival (DOA) estimation.
  • Existing coprime array algorithms struggle with estimating the DOA of coherent sources.
  • Enhanced spatial smoothing techniques are needed to address limitations in current DOA estimation methods.

Purpose of the Study:

  • To propose a novel enhanced coprime array design for improved DOA estimation.
  • To enable the accurate estimation of DOA for coherent sources using coprime arrays.
  • To enhance noise reduction and overall estimation performance in DOA estimation algorithms.

Main Methods:

  • An enhanced coprime array configuration is proposed by increasing the number of sensors.
  • Spatial smoothing is applied to the signal subspace for improved performance.
  • The MUSIC (Multiple Signal Classification) algorithm is utilized for DOA estimation.

Main Results:

  • The enhanced coprime array successfully enables DOA estimation for coherent sources.
  • Applying spatial smoothing to the signal subspace significantly reduces noise interference.
  • Simulation results show superior performance compared to traditional DOA estimation algorithms.

Conclusions:

  • The proposed enhanced coprime array effectively overcomes limitations in estimating coherent sources.
  • The novel spatial smoothing approach enhances the robustness and accuracy of DOA estimation.
  • This method offers a feasible and improved solution for direction of arrival estimation challenges.