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Published on: February 12, 2014
High resolution direction of arrival (DOA) estimation based on improved orthogonal matching pursuit (OMP) algorithm
1Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China. wywang@cauc.edu.cn
Sensors (Basel, Switzerland)
|August 27, 2013
Summary
This study introduces Iterative Local Searching-Orthogonal Matching Pursuit (ILS-OMP) to enhance Direction of Arrival (DOA) estimation. The novel algorithm improves DOA resolution, overcoming limitations of existing compressive sensing methods.
Area of Science:
- Array signal processing
- Compressive sensing
Background:
- Direction of Arrival (DOA) estimation is crucial for array signal processing.
- Existing compressive sensing algorithms face limitations due to the Restricted Isometry Property (RIP) or measurement matrix coherence, especially with adjacent DOAs.
Purpose of the Study:
- To propose a novel algorithm, Iterative Local Searching-Orthogonal Matching Pursuit (ILS-OMP), to enhance DOA estimation resolution.
- To overcome the limitations of conventional Orthogonal Matching Pursuit (OMP) and other compressive sensing methods in DOA estimation.
Main Methods:
- The proposed ILS-OMP algorithm builds upon the conventional OMP algorithm.
- It incorporates an Iterative Local Searching process to refine DOA estimates and minimize residual errors.
- Initial DOA estimates are obtained via OMP, followed by iterative local refinement.
Main Results:
- Simulation results demonstrate the effectiveness of the ILS-OMP algorithm.
- The proposed method shows significant advantages in improving DOA resolution compared to conventional techniques.
- ILS-OMP successfully addresses challenges posed by adjacent DOAs.
Conclusions:
- The ILS-OMP algorithm offers a promising advancement in DOA estimation.
- This method effectively enhances DOA resolution in array signal processing applications.
- The iterative local searching strategy provides a robust approach to overcoming existing algorithm limitations.
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