Title:
ADAPTIVE FILTER
Document Type and Number:
Japanese Patent JP3730751
Kind Code:
B2
Abstract:
PROBLEM TO BE SOLVED: To reduce a residual error after convergence without reducing the convergence speed of an adaptive filter by controlling a step size at the time of obtaining an N-dimensional tap weight vector so that it becomes almost equal to the value minimum in the square average error at that time.
SOLUTION: For the N-dimensional tap weight vector c(n) at time (n), which is realized as a non-cyclic filter, a probability grade sine algorithm given by an expression I is used as an input signal series where αc(n) is set to be the step size at time (n), en to be an error signal series, νn to be a noise series, sgn to be a polarity function and a(n) to be time (n). A step size controller controlling the step size αc(n) in the expression I so that the square average error ε(n) at time (n), which is given by an expression II, becomes almost minimum is provided. Thus, the residual error after convergence is reduced and convergence can be speeded up.
Inventors:
Shinichi Koike
Application Number:
JP15275397A
Publication Date:
January 05, 2006
Filing Date:
June 11, 1997
Export Citation:
Assignee:
NEC
International Classes:
H03H21/00; H03H17/06; (IPC1-7): H03H21/00; H03H17/06
Domestic Patent References:
| JP8213880A |
Other References:
小池伸一「絶対値誤差の勾配に基づく適応制御ステップサイズサインアルゴリズムの解析」1977年電子情報通信学会総合大会講演論文集,A-4-46、1977年3月27日、第177頁
AKIHIKO SUGIYAMA、AN INTERFERENCE-ROBUST STOCHASTIC GRADIENT ALGORITHM WITH A GRADIENT-ADAPTIVE STEP-SIZE、PROCEEDINGS OF ICASSP、0-7803-0946-4/93 IEEE、1993年4月27日、3-539頁から3-542頁
AKIHIKO SUGIYAMA、AN INTERFERENCE-ROBUST STOCHASTIC GRADIENT ALGORITHM WITH A GRADIENT-ADAPTIVE STEP-SIZE、PROCEEDINGS OF ICASSP、0-7803-0946-4/93 IEEE、1993年4月27日、3-539頁から3-542頁
Attorney, Agent or Firm:
Masahiko Desk
Masashi Kudo
Yasuhisa Tanizawa
Masashi Kudo
Yasuhisa Tanizawa