Maximum Likelihood Track Extraction Using Sliding Window in High False Density Environments(ICSANE 2012 (International Conference on Space, Aeronautical and Navigational Electronics))

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概要

• 論文の詳細を見る

• The Maximum Likelihood Probabilistic Date Association (MLPDA) has a lot of attention as a target track extraction method in high false density environments. The problem of the conventional MLPDA is that it cannot give full performances when the target does not exist in several early frames. In this paper, we propose enhanced MLPDA using sliding window (SW-MLPDA). In our methodology, the sliding window enable us to reject the unuseful early frames without target's signals and detect the target track exactly. Through several computer simulations, the validity of our algorithm has confirmed.

• 一般社団法人電子情報通信学会の論文
• 2012-10-03

著者

• Kameda Hiroshi

  Information Technology R & D Center Mitsubishi Electric Corporation

• Matsuzaki Takashi

  Information Technology R & D Center Mitsubishi Electric Corporation

• MATSUZAKI Takashi

  Information Technology R&D Center, Mitsubishi Electric Corporation

• MORI Masanori

  Information Technology R&D Center, Mitsubishi Electric Corporation

• UMEZAWA Toru

  Kamakura Works, Mitsubishi Electric Corporation

関連論文

• A Target Positioning Algorithm Using Asynchronous TDOA/FDOA Measurements in the Distributed Sensor Network(WSANE 2008 (Workshop for Space, Aeronautical and Navigational Electronics))
• A Method of Judging Target Extinction Using PDA Tracking, Vol.J86-B,No.3, pp.536-551
• Maximum Likelihood Track Extraction Using Sliding Window in High False Density Environments(ICSANE 2012 (International Conference on Space, Aeronautical and Navigational Electronics))
• Track Extraction for Accelerated Targets in Dense Environments Using Variable Gating MLPDA

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