Convergence analysis of complex adaptive IIR notch filters

Author

Nishimura, Shotaro ; Jiang, Hai-Yun

Author_Institution

Shimane Univ., Matsue, Japan

Volume

4

fYear

1997

fDate

9-12 Jun 1997

Firstpage

2325

Abstract

In this paper, we present a new structure for the complex adaptive IIR notch filter which is useful for the detection of complex sinusoids in communication and radar systems. The proposed structure is based on the direct form first-order complex notch filter using a gradient-based algorithm. A quantitative analysis of convergence properties is developed. It has been shown that the convergence speed does not depend on the variance of input white noise. The effects of colored Gaussian noise on convergence speed have been analyzed. By using the proposed first-order section, a new cascaded structure for the complex adaptive notch filter is also shown. The results of computer simulation are shown which confirm the theoretical prediction

Keywords

Gaussian noise; IIR filters; adaptive filters; adaptive signal detection; cascade networks; convergence of numerical methods; filtering theory; notch filters; radar detection; white noise; cascaded structure; colored Gaussian noise; complex adaptive IIR notch filters; complex sinusoids detection; convergence analysis; convergence properties; convergence speed; direct form; first-order complex notch filter; gradient-based algorithm; input white noise; Adaptive filters; Circuits; Computer simulation; Convergence; Frequency; IIR filters; Postal services; Radar detection; Signal analysis; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.612788

Filename

612788