Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise

スポンサーリンク

概要

• 論文の詳細を見る

• In this letter, we propose a robust adaptive filter with a Variable Forgetting Factor (VFF) for impulsive noise suppression. The proposed method can restrict the perturbation of the parameters using M-estimator and adaptively reduce the error propagation caused by the impulsive noise using VFF. Simulations show that the performance of the proposed algorithm is less vulnerable to the impulsive noise than those of the conventional Kalman filter based algorithms.

• 社団法人電子情報通信学会の論文
• 2001-01-01

著者

• Kim H‐s

  The Authors Are With The School Of Electrical Engineering Seoul National University

• Lim Jun-seok

  The Author Is With The Department Of Electronics Engineering Sejonf University

• Sung Koeng-mo

  The Authors Are With The School Of Electrical Engineering Seoul National University

• KIM Han-Su

  The authors are with the School of Electrical Engineering, Seoul National University

• BAEK SeongJoon

  The authors are with the School of Electrical Engineering, Seoul National University

• Baek Seongjoon

  The Authors Are With The School Of Electrical Engineering Seoul National University

関連論文

• Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise

スポンサーリンク