• Title/Summary/Keyword: Jet Engine Localization

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Localization of Jet Engine Position from HRRP-JEM Images of Aircraft Targets Using Eccentricity of Complex-Valued Signals (항공기 표적의 HRRP-JEM 영상에서 복소 신호의 이심률을 이용한 제트 엔진 위치 추정)

  • Park, Ji-Hoon;Yang, Woo-Yong;Bae, Jun-Woo;Kang, Seong-Cheol;Myung, Noh-Hoon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.24 no.12
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    • pp.1173-1180
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    • 2013
  • High Resolution Range Profile-Jet Engine Modulation imagery first introduced in 2005 carries out radar target recognition by localizing the position of the jet engine installed on the aircraft target. This paper presents a new approach for estimating the jet engine position in the HRRP-JEM image based on the eccentricity of a complex signal. It can effectively evaluate the contribution of the JEM component to the radar received signal in a range bin of the HRRP-JEM image. Therefore, the localization is expected to be performed more quantitatively and reliably by pinpointing the range bin corresponding to the jet engine position where the JEM contribution is maximized. The simulation results of realistic aircraft models validated the effectiveness of the proposed concept.

A Study on Jet Engine Noise Analysis and Reduction for a Capstone Design Project (캡스톤 디자인 프로젝트 수행을 통한 제트엔진 소음특성 파악 및 저감 방안 연구)

  • Kim, Sitae;Kim, Hyuksoo;Cho, Minhyuk
    • Journal of Engineering Education Research
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    • v.27 no.4
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    • pp.21-27
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    • 2024
  • This study introduces a series of processes aimed at understanding the noise characteristics generated by jet engines and devising measures to mitigate them through interdisciplinary capstone design projects. During the project execution, educational methods were applied to foster 4Cs (creativity, communication, collaboration, critical thinking) competencies. Project objectives were set through team discussions, and individual team members were assigned primary roles to act as subgroup leaders. As a result, the project was executed as follows: combustion tests were conducted using an SR-30 turbojet engine to generate noise, and the locations and characteristics of the noise sources were identified using beamforming techniques and frequency analysis applied to a 30-microphone array. Additionally, chevron nozzles were designed and fabricated to confirm their noise reduction performance.