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DOA Estimation Based on Real-Valued Cross Correlation Matrix of Coprime Arrays.

Jianfeng Li1, Feng Wang2, Defu Jiang3

  • 1Array and information processing laboratory, College of computer and information, Hohai University, Nanjing 211100, China. lijianfeng@hhu.edu.cn.

Sensors (Basel, Switzerland)
|March 25, 2017
PubMed
Summary

A novel direction of arrival (DOA) estimation method utilizes a real-valued cross-correlation matrix (CCM) from coprime subarrays. This approach offers improved performance and source handling with lower computational complexity compared to existing methods.

Keywords:
coprime arrayscross-correlation matrixdirection of arrival estimationpair matching

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Direction of Arrival (DOA) estimation is crucial for applications like radar and wireless communications.
  • Existing methods for coprime arrays, such as Partial Spectral Search (PSS) and Estimation of Signal Parameter via Rotational Invariance (ESPRIT), face limitations in complexity and performance.
  • Efficient and accurate DOA estimation is essential for advanced spatial signal processing.

Purpose of the Study:

  • To propose a new, computationally efficient Direction of Arrival (DOA) estimation method for coprime arrays.
  • To enhance DOA estimation performance and the ability to handle multiple sources.
  • To validate the proposed method's effectiveness through simulations.

Main Methods:

  • Construction of a real-valued cross-correlation matrix (CCM) with an extended aperture.
  • Obtaining signal subspaces corresponding to two coprime subarrays.
  • Simultaneous DOA estimation from subarrays with automatic pairing, followed by unique DOA determination from common results.

Main Results:

  • The proposed method achieves lower computational complexity than PSS and ESPRIT-based methods.
  • Demonstrates superior DOA estimation performance and improved multi-source handling capabilities.
  • Simulation results confirm the algorithm's effectiveness and accuracy.

Conclusions:

  • The proposed real-valued CCM-based DOA estimation method offers a significant advancement for coprime arrays.
  • It provides a robust and efficient solution for accurate DOA estimation, outperforming existing techniques.
  • This method holds promise for enhancing the performance of various spatial signal processing systems.