DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table.

Area of Science:

• Signal Processing
• Array Signal Processing
• Electromagnetics

Background:

• Coprime linear arrays offer advantages in sensor resolution.
• Accurate direction-of-arrival (DOA) estimation is crucial for various applications.
• Existing DOA algorithms face challenges with computational complexity and accuracy.

Purpose of the Study:

• To propose a novel DOA estimation algorithm for coprime linear arrays.
• To improve angle measurement performance and reduce computational complexity.
• To enhance DOA estimation precision, especially in the presence of multiple signals.

Main Methods:

• Utilizes Multiple Invariance Estimation of Signal Parameters via Rotational Invariance Techniques (MI-ESPRIT).
• Incorporates a lookup table method to resolve ambiguity and avoid spatial spectrum search.
• Leverages the signal subspace relationship between two subarrays to mitigate matching errors.

Main Results:

• Achieves higher DOA estimation precision by fully utilizing subarray elements.
• Significantly reduces computational complexity compared to existing algorithms.
• Effectively avoids matching errors when multiple signals are present.

Conclusions:

• The proposed MI-ESPRIT and lookup table-based algorithm enhances DOA estimation for coprime linear arrays.
• The algorithm offers improved accuracy and efficiency, making it suitable for practical applications.
• Simulation results confirm the algorithm's effectiveness and superiority over existing methods.