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Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with
Weijian Si1, Pinjiao Zhao2, Zhiyu Qu3
1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. swj0418@263.net.
Sensors (Basel, Switzerland)
|June 4, 2016
Summary
This study introduces a novel L-shaped sparsely-distributed vector sensor (SD-VS) array for estimating direction of arrival (DOA) and polarization. The method effectively separates coexisting uncorrelated and coherent sources using eigenvalue analysis.
Area of Science:
- Electromagnetics and Signal Processing
- Array Signal Processing
- Wireless Communications
Background:
- Direction of Arrival (DOA) and polarization estimation are crucial in wireless systems.
- Existing methods struggle with scenarios involving both uncorrelated and coherent sources.
- Vector sensor arrays offer enhanced capabilities but face challenges with mutual coupling and aperture limitations.
Purpose of the Study:
- To propose a novel two-dimensional (2-D) DOA and polarization estimation method.
- To address the challenge of coexisting uncorrelated and coherent sources.
- To introduce an L-shaped sparsely-distributed vector sensor (SD-VS) array design.
Main Methods:
- Separation of uncorrelated and coherent sources using eigenvalue moduli.
- Coarse DOA estimation for uncorrelated sources via steering vectors.
- Fine DOA estimation for uncorrelated sources using spatial phase factors.
- Construction of Hankel matrices for coherent source resolution.
Main Results:
- The proposed SD-VS array effectively separates coexisting uncorrelated and coherent sources.
- Reduced mutual coupling due to only two collocated antennas per vector sensor.
- Extended array aperture achieved by allowing inter-sensor spacings beyond a half-wavelength.
- Simulation results validate the method's effectiveness and performance.
Conclusions:
- The L-shaped SD-VS array enables robust 2-D DOA and polarization estimation in complex environments.
- The proposed method offers a significant advancement in handling mixed source types.
- The design contributes to improved performance in array signal processing applications.
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