Modeling of multirate signal in radar target recognition

Author

Yong-Xiang, Liu ; Xiang, Li ; Zhao-wen, Zhuang

Author_Institution

ATR Key Lab., Nat. Univ. of Defense Technol., Changsha, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1604

Abstract

Considering the uncertain for rotating velocity of spatial target and period of radar observation, there exists sampling rate variance between radar returns and template data, which decreases the degree of matching. In this paper, the autoregressive moving average (ARMA) model in multirate is provided, through which the power spectral density (PSD) of radar turns can be developed in the scale of template data, and then data can be matched in the same scale. Experimental result shows the validity of proposed method.

Keywords

autoregressive moving average processes; modelling; radar target recognition; signal processing; ARMA model; autoregressive moving average model; degree of matching; multirate signal modeling; power spectral density; radar observation period; radar target recognition; sampling rate variance; spatial target rotating velocity; template data; Autoregressive processes; Finite impulse response filter; Frequency; Interpolation; Missiles; Polynomials; Radar cross section; Sampling methods; Signal processing; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281187

Filename

1281187