An Analytic Approximation of Information Reduction Factor for Performance Prediction of PDA Tracking

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概要

• 論文の詳細を見る

• An analytic approximation of the information reduction factor is presented in an efficient manner for the case of two-dimensional measurement vector and a fonr-sigma validation gate. This analytic approximation allows us to efficiently evaluate performance prediction for the probabilistic data association (PDA) filter using the hybrid conditional average (HYCA) algorithm.

• 社団法人電子情報通信学会の論文
• 2003-02-01

著者

• Hong S‐m

  Kyungpook National Univ. Taegu Kor

• HONG Sun-Mog

  School of EECS, Kyungpook National University

• SHIN Han-Seop

  School of Electronic and Electrical Engineering.Kyungpook National University

• Hong Sun-mog

  School Of Eecs Kyungpook National University

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• IMM Estimator-Based Interference Prediction for Power Control in Broadband Wireless Packet Networks(Wireless Communication Technologies)
• Power and Spreading Gain Allocation in CDMA Data Networks for Prioritized Services(Wireless Communication Technology)
• SB-9-6 IMM-Based Interference Prediction for Power Control in Broadband Wireless Packet Networks(SB-9. Broadband wireless access techniques for the next generation wireless communications)

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