Simulation of the Radar Cross Section of a Noctuid Moth

Author:

Addison Freya I.,Dally ThomasORCID,Duncan Elizabeth J.ORCID,Rouse James,Evans William L.,Hassall ChristopherORCID,Neely Ryan R.ORCID

Abstract

Electromagnetic modelling may be used as a tool for understanding the radar cross section (RCS) of volant animals. Here, we examine this emerging method in detail and delve deeper into the specifics of the modelling process for a single noctuid moth, with the hope of illuminating the importance of different aspects of the process by varying the morphometric and compositional properties of the model. This was accomplished by creating a high-fidelity three-dimensional insect model by micro-CT scanning a gold-palladium-coated insect. Electromagnetic simulations of the insect model were conducted by applying different morphological and compositional configurations using the WiPL-D Pro 3D Electromagnetic Solver. The simulation results show that high-resolution modelling of insects has advantages compared to the simple ellipsoidal models used in previous studies. We find that the inclusion of wings and separating the composition of the body, wings, and legs and antennae have an impact on the resulting RCS of the specimen. Such modifications to the RCS are missed when a prolate spheroid model is used and should not be ignored in future studies. Finally, this methodology has been shown to be useful in exploring the changes in the RCS that result from variations in specimen size. As such, utilising this methodology further for more species will improve the ability to quantitatively interpret aeroecological observations of weather surveillance radars and special-purpose entomological radars.

Funder

Natural Environment Research Council

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Insects as radar targets: size, form, density and permittivity;International Journal of Remote Sensing;2024-04-18

2. Quantification of Migration Birds Based on Polarimetric Weather Radar;Remote Sensing;2023-10-03

3. BATScan: A radar classification tool reveals large‐scale bat migration patterns;Methods in Ecology and Evolution;2023-05-30

4. Influence of Nonhorizontal Orientation on Measurement of Insect Biological Parameters With Entomological Radar;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

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