Title :
Chirplet Based Denoising of Reflected RADAR Signals
Author :
Amiri, Reza ; Alaee, Mohammad ; Rahmani, Hussein ; Firoozmand, Mohsen
Author_Institution :
Dept. of Electr. Eng., Imam Hussein Univ., Tehran
Abstract :
In this paper we propose a new denoising method of radar reflected signals. Using signal processing techniques such as the short time Fourier transform (STFT) and the chirplet transform, various parameters of signal can be extract. In this paper we can obtain the signal´s parameter by using the chirplet transformation as a tool to denoise the signals. We have already tested this algorithm on the real data and have obtained chirplet transformation has the perfect results on system identification by denoising returned signal.
Keywords :
Fourier transforms; radar signal processing; signal denoising; time-frequency analysis; chirplet transform; denoising method; radar reflected signal; short time Fourier transform; signal parameter; signal processing technique; time frequency domain; Chirp; Fourier transforms; Gaussian noise; Noise reduction; Radar antennas; Radar scattering; Radar signal processing; Signal analysis; Signal processing; Signal processing algorithms;
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
DOI :
10.1109/AMS.2009.54