Reduced Dimension Based Two-Dimensional DOA Estimation with Full DOFs for Generalized Co-Prime Planar Arrays

Area of Science:

• Signal Processing
• Array Signal Processing
• Electromagnetics

Background:

• Two-dimensional (2D) direction-of-arrival (DOA) estimation is crucial for various applications.
• Traditional methods like Multiple Signal Classification (MUSIC) offer high performance but are computationally intensive due to 2D spectral searches.
• Generalized co-prime planar arrays present unique challenges for DOA estimation.

Purpose of the Study:

• To develop a computationally efficient method for 2D DOA estimation in generalized co-prime planar arrays.
• To overcome the high computational burden associated with conventional MUSIC-based algorithms.
• To maintain or improve estimation accuracy while reducing complexity.

Main Methods:

• A novel reduced-dimension partial spectral search estimation method is proposed.
• The 2D DOA estimation problem is transformed into a 1D problem, compressing the search region.
• An iterative approach is introduced to further reduce computational complexity and enhance performance.

Main Results:

• The proposed method achieves substantially reduced computational complexity compared to existing state-of-the-art techniques.
• Improved estimation performance is demonstrated through simulation results.
• The method effectively utilizes the full information from the entire array without loss of degrees-of-freedom.

Conclusions:

• The developed reduced-dimension partial spectral search method offers a significant advancement in 2D DOA estimation.
• The proposed iterative approach provides a practical solution for complex array processing scenarios.
• This work presents a computationally efficient and high-performance alternative for DOA estimation with generalized co-prime planar arrays.