Title :
A radar ranging algorithm based on characteristic decomposition power spectrum estimation
Author :
Xu, Jian-zhong ; Wang, Zu-lin ; Guo, Xu-jing ; Zhao, Yi-huan
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
The linear frequency modulation (LFM) signal is the main signal form of the high resolution radar. By analysis for the principle of the LFM radar signal to realize the high range resolution profile and the impact of clutter and noise over target echo signal, we propose the method of using spectrum estimation based on the characteristic decomposition to estimate the frequency and realize the LFM signal range profile. The simulation results prove that this method to the goal 1D range profile is effective under low signal-to-noise ratio conditions.
Keywords :
FM radar; frequency estimation; radar clutter; radar resolution; spectral analysis; LFM radar signal; characteristic decomposition; clutter; frequency estimation; high resolution radar; linear frequency modulation signal; power spectrum estimation; radar ranging algorithm; target echo signal; Chirp modulation; Frequency estimation; Frequency modulation; Pattern analysis; Pattern recognition; Radar imaging; Signal analysis; Signal resolution; Spectral analysis; Wavelet analysis; Characteristic decomposition; Linear frequency modulation; Range profile; Spectrum estimation;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
DOI :
10.1109/ICWAPR.2009.5207488
