Target classification algorithm using netted radars(WSANE2006)

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概要

• 論文の詳細を見る

• This paper presents a new method to classify the targets and to estimate the target attitude at the same time by using netted radars. This algorithm classifies the targets based on the difference of aspect angles among the radars, and achieves the good performance even if the target attitude is unknown. We evaluated the classification performance using the computer simulations, and show that the proposed method improves the performance than the conventional single mono-static radar.

• 社団法人電子情報通信学会の論文
• 2006-04-03

著者

• Shimada Masafumi

  Information Technology R&d Center Mitsubishi Electric Corporation

• Iwamoto Masafumi

  Information Technology R&d Center Mitsubishi Electric Co.

• Yamamoto Kazuhiko

  Information Technology R&d Center Mitsubishi Electric Corporation

• SUWA Kei

  Information Technology R&D Center, Mitsubishi Electric Corporation

• Suwa Kei

  Information Technology R&d Center Mitsubishi Electric Corporation

• Suwa Kei

  Information Technology R&d Center Mitsubishi Electric Co.

関連論文

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• Target classification algorithm using netted radars(WSANE2006)
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• One-Dimensional Electronic Beam-Scanning Center-Fed Imaging Reflector Antenna

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