1995Electronics and Communications in Japan (Part III Fundamental Electronic Science)Requires access

Parallel adaptive infinite impulse response digital filters using Kalman filters

Jianting Cao, Takashi Yahagi, Jinhu Lü

Open publisher page 0 citations

Abstract

Abstract This paper presents a new design method for parallel adaptive infinite impulse response (112) digital filters using Kalman filters in the time domain. the parallel Kalman filter (PKF) and the improved parallel Kalman filter (IPKF) based on the divided estimation of an unknown system's impulse response are extended to parallel adaptive IIR digital filters. the finite impulse response (FIR) digital filters can be replaced by reduced order IIR digital filters. This is particularly useful when high‐order FIR digital filters are necessary. A method is presented that ensures the stability of IIR digital filters with little extra computational effort.

About this research paper

What this paper is about

Abstract This paper presents a new design method for parallel adaptive infinite impulse response (112) digital filters using Kalman filters in the time domain. the parallel Kalman filter (PKF) and the improved parallel Kalman filter (IPKF) based on the divided estimation of an unknown system's impulse response are extended to parallel adaptive IIR digital filters. the finite impulse response (FIR) digital filters can be replaced by reduced order IIR digital filters. This is particularly useful when high‐order FIR digital filters are necessary. A method is presented that ensures the stability of IIR digital filters with little extra computational effort.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract This paper presents a new design method for parallel adaptive infinite impulse response (112) digital filters using Kalman filters in the time domain. the parallel Kalman filter (PKF) and the improved parallel Kalman filter (IPKF) based on the divided estimation of an unknown system's impulse response are extended to parallel adaptive IIR digital filters. the finite impulse response (FIR) digital filters can be replaced by reduced order IIR digital filters. This is particularly useful when high‐order FIR digital filters are necessary. A method is presented that ensures the stability of IIR digital filters with little extra computational effort.

Key concepts: Infinite impulse response, Digital filter, Finite impulse response, 2D Filters, Control theory (sociology), Adaptive filter, Linear filter, Kalman filter

Related papers

Back to paper searchBrowse research topicsOriginal source
Parallel adaptive infinite impulse response digital filters using Kalman filters — Research Paper | ScholarLens