Multipath chirp signal detection based on biorthogonal fourier transform

2013 ◽  
Author(s):  
Chao Yan ◽  
Lin Zheng
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Chirp Signal

Multicomponent Chirp Signal Detection Based on Discrete Chirp-Fourier Transform

2017 ◽  
Vol 96 (3) ◽  
pp. 4385-4397 ◽  
Author(s):  
Junfang Li ◽  
Bingbing Li ◽  
Zixun Guo ◽  
Mingqian Liu ◽  
Yongming Guo
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Chirp Signal

LFM Signal Detection Method Based on Fractional Fourier Transform

2014 ◽  
Vol 989-994 ◽  
pp. 4001-4004 ◽  
Author(s):  
Yan Jun Wu ◽  
Gang Fu ◽  
Yu Ming Zhu
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Frequency Analysis ◽  
Experimental Analysis ◽  
Fractional Fourier Transform ◽  
Detection Method ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Frequency Information ◽  
Strong Impulse

As a generalization of Fourier transform, the fractional Fourier Transform (FRFT) contains simultaneity the time-frequency information of the signal, and it is considered a new tool for time-frequency analysis. This paper discusses some steps of FRFT in signal detection based on the decomposition of FRFT. With the help of the property that a LFM signal can produce a strong impulse in the FRFT domain, the signal can be detected conveniently. Experimental analysis shows that the proposed method is effective in detecting LFM signals.

New time-frequency approach for weak-chirp-signal detection

1996 ◽  
Author(s):  
Houng-Jyh M. Wang ◽  
Te-Chung Yang ◽  
C.-C. Jay Kuo
Keyword(s):  
Signal Detection ◽  
Chirp Signal ◽  
Time Frequency ◽  
New Time

Chirp signal detection using FFT peak frequency difference [Correspondence]

2016 ◽  
Vol 52 (3) ◽  
pp. 1449-1453 ◽  
Author(s):  
CHI-HAO Cheng ◽  
Lihyeh L. Liou ◽  
James B. Tsui ◽  
David M. Lin
Keyword(s):  
Signal Detection ◽  
Peak Frequency ◽  
Frequency Difference ◽  
Chirp Signal
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