Recursive filtering Radon-ambiguity transform algorithm for multi-LFM signals detection

Author

Li, Yingxiang ; Yi, Min ; Xiao, Xianci

Author_Institution

Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

2

fYear

2002

fDate

29 June-1 July 2002

Firstpage

1050

Abstract

In the multi-LFM (linear frequency modulation) signals condition, the Radon-ambiguity transform (RAT) of the strong LFM component has a strong suppression effect on the weaker LFM components. A recursive filtering Radon-ambiguity transform (RFRAT) algorithm is proposed to solve this problem. In this method, we make full use of the character of the maximum likelihood (ML) estimation of the frequency rate obtained by the Radon-ambiguity transform and eliminate the strong component step by step by an adaptive dechirp filtering algorithm. The validity of this method is shown by computer simulation even in the low signal to noise ratio (SNR) condition.

Keywords

Radon transforms; adaptive filters; chirp modulation; demodulation; frequency estimation; frequency modulation; maximum likelihood estimation; recursive filters; signal detection; SNR; dechirp filtering algorithm; frequency rate; maximum likelihood estimation; multi-LFM signal detection; recursive filtering Radon-ambiguity transform algorithm; signal to noise ratio; Adaptive filters; Filtering algorithms; Frequency; Maximum likelihood detection; Maximum likelihood estimation; Radar applications; Radar measurements; Radar theory; Signal detection; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on

Print_ISBN

0-7803-7547-5

Type

conf

DOI

10.1109/ICCCAS.2002.1178966

Filename

1178966