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A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays.

Fenggang Sun1,2, Bin Gao3, Lizhen Chen4

  • 1College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China. sunfg@sdau.edu.cn.

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|August 30, 2016
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Summary

This study introduces a novel direction-of-arrival (DOA) estimation method using co-prime arrays. The technique improves accuracy and efficiency for sparse array signal processing.

Keywords:
ESPRITco-prime arraydirection of arrival (DOA) estimationequivalent DOAssparse array

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Direction-of-Arrival (DOA) estimation is crucial for various applications.
  • Traditional methods face challenges with sparse arrays and computational complexity.
  • Co-prime arrays offer a unique structure for enhanced DOA estimation.

Purpose of the Study:

  • To develop an efficient DOA estimation method for co-prime arrays.
  • To leverage the properties of sparse subarrays for improved performance.
  • To achieve a better trade-off between computational complexity and estimation accuracy.

Main Methods:

  • Utilizing co-prime arrays with two sparse linear subarrays.
  • Mapping true DOAs to equivalent angles for a uniform linear array.
  • Applying the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT).
  • Recovering true DOAs by combining results from both subarrays.

Main Results:

  • The proposed method effectively estimates DOAs from co-prime arrays.
  • Equivalent DOAs are accurately determined using ESPRIT.
  • The combined approach yields reliable true DOA estimations.
  • Demonstrates a superior complexity-performance trade-off compared to existing techniques.

Conclusions:

  • The novel DOA estimation method for co-prime arrays is effective.
  • The technique offers significant advantages in terms of performance and efficiency.
  • This approach advances sparse array signal processing capabilities.