Signal processing of landing radar considering irradiated surface characteristics using convolutional neural networks

Moeko Hidaka, Masaki Takahashi, Takayuki Ishida, Kazuki Kariya, Takahide Mizuno, Seisuke Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a signal-processing method for a lunar lander using deep learning is proposed. The ability for pinpoint soft landing on a lunar/planetary surface broadens the range of scientific and exploration missions. To perform pinpoint landing, measurement of the relative velocity with respect to the surface is essential. Landing radar is a sensor that measures the relative velocity. To measure the velocity, the landing radar irradiates the surface with a pulse wave and observes the Doppler shift. High-precision measurement on complex terrains, a crater, or a slope has always been the problem of landing radar because the irradiated terrains strongly affect the accuracy. We propose a measurement system that performs with high accuracy on complex terrains using convolutional neural networks. Moreover, we confirm that the proposed method could improve the measurement accuracy compared with the existing method.

Original languageEnglish
Title of host publicationAIAA Scitech 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105784
DOIs
Publication statusPublished - 2019 Jan 1
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: 2019 Jan 72019 Jan 11

Publication series

NameAIAA Scitech 2019 Forum

Conference

ConferenceAIAA Scitech Forum, 2019
CountryUnited States
CitySan Diego
Period19/1/719/1/11

Fingerprint

Landing
Signal processing
Radar
Neural networks
Doppler effect
Sensors

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Hidaka, M., Takahashi, M., Ishida, T., Kariya, K., Mizuno, T., & Fukuda, S. (2019). Signal processing of landing radar considering irradiated surface characteristics using convolutional neural networks. In AIAA Scitech 2019 Forum (AIAA Scitech 2019 Forum). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2019-1267

Signal processing of landing radar considering irradiated surface characteristics using convolutional neural networks. / Hidaka, Moeko; Takahashi, Masaki; Ishida, Takayuki; Kariya, Kazuki; Mizuno, Takahide; Fukuda, Seisuke.

AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, 2019. (AIAA Scitech 2019 Forum).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hidaka, M, Takahashi, M, Ishida, T, Kariya, K, Mizuno, T & Fukuda, S 2019, Signal processing of landing radar considering irradiated surface characteristics using convolutional neural networks. in AIAA Scitech 2019 Forum. AIAA Scitech 2019 Forum, American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA Scitech Forum, 2019, San Diego, United States, 19/1/7. https://doi.org/10.2514/6.2019-1267
Hidaka M, Takahashi M, Ishida T, Kariya K, Mizuno T, Fukuda S. Signal processing of landing radar considering irradiated surface characteristics using convolutional neural networks. In AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA. 2019. (AIAA Scitech 2019 Forum). https://doi.org/10.2514/6.2019-1267
Hidaka, Moeko ; Takahashi, Masaki ; Ishida, Takayuki ; Kariya, Kazuki ; Mizuno, Takahide ; Fukuda, Seisuke. / Signal processing of landing radar considering irradiated surface characteristics using convolutional neural networks. AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, 2019. (AIAA Scitech 2019 Forum).
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