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Biologically inspired virtual aperture extension method of small aperture HFSWR multielement array
Hongbo Li1, Aijun Liu2, Qiang Yang1
1Electronics and Information Engineering, Harbin Institute of Technology, Harbin, People's Republic of China.
Bioinspiration & Biomimetics
|October 17, 2023
Summary
This study introduces a novel method to enhance radar systems by mimicking the fly Ormia ochracea, extending the virtual aperture of high-frequency surface wave radar arrays for improved target localization.
Area of Science:
- Biomimicry
- Electromagnetics
- Radar Systems Engineering
Background:
- Small aperture high-frequency surface wave radar (HFSWR) arrays have limitations in achieving sufficient virtual aperture extension.
- The auditory system of the fly Ormia ochracea, despite wavelength incompatibility, demonstrates remarkable sound localization capabilities due to its coupled mechanical structure.
Purpose of the Study:
- To develop a novel method for extending the virtual aperture of HFSWR multielement arrays.
- To leverage biomimicry, specifically the coupled ear structure of Ormia ochracea, for enhanced radar performance.
- To introduce a frequency conversion algorithm for adapting the system to arbitrary frequencies.
Main Methods:
- Design of a two-degree of freedom (DOF) biologically inspired coupled system mimicking Ormia's ears.
- Quantitative analysis of aperture extension capability and construction of a virtual array received signal model.
- Development and validation of a frequency conversion algorithm and design of two multi-DOF coupled systems.
Main Results:
- Demonstrated significant virtual aperture extension capability through numerical simulations comparing inspired arrays with ordinary arrays.
- Validated the effectiveness of the proposed frequency conversion algorithm.
- Identified optimal system parameters for desired frequencies and confirmed the method's effectiveness with actual radar data.
Conclusions:
- The proposed biomimetic approach effectively extends the virtual aperture of HFSWR arrays.
- The frequency conversion algorithm enables flexible application across various desired frequencies.
- This method offers a promising solution for improving the performance of small aperture radar systems.
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