A Method for Shape Retrieval of Flying Objects Using Satellite Communication Signals

Shuangyang Li, Xi Shen, Defeng David Huang

Research output: Chapter in Book/Conference paperConference paperpeer-review

Abstract

The successful commercialization of satellite communication systems using low earth orbit (LEO) satellites has received significant attention. In this paper, we study the ability of shape retrieval for flying objects using LEO satellite signals. We first show that the object shape can be extracted from the received satellite signals via exploiting the diffraction pattern. Then, we derive a discrete system model that relates the shape of the flying object with the received signal at ground stations, where the impact of the satellite elevation angle is considered. We discuss the 'coherence time' for the considered shape retrieval problem and further propose a simple shape retrieval scheme using a linear filter to the combined received samples. Our numerical results verify the effectiveness of the proposed scheme, and demonstrate promising retrieval performance under various conditions.

Original languageEnglish
Title of host publication2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9798350345407
DOIs
Publication statusPublished - 2023
Event2023 IEEE/CIC International Conference on Communications in China: Integrating Space-Air-Ground-Sea Communications - Dalian, China
Duration: 10 Aug 202312 Aug 2023
Conference number: 12th
https://iccc2023.ieee-iccc.org/

Publication series

Name2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023

Conference

Conference2023 IEEE/CIC International Conference on Communications in China
Abbreviated titleIEEE/CIC ICCC 2023
Country/TerritoryChina
CityDalian
Period10/08/2312/08/23
Internet address

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