Title :
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
fDate :
29 June-1 July 2002
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;
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
DOI :
10.1109/ICCCAS.2002.1178966
