DocumentCode :
2952550
Title :
Performance analysis of parameter estimation algorithm for LFM signals using quadratic phase function
Author :
Li, Hong ; Qin, Yu-liang ; Jiang, Wei-dong ; Wang, Hong-qiang ; Li, Xiang
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2009
fDate :
13-15 Nov. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The aim of this work is the performance evaluation for a method used to analyze of a mono-component linear frequency modulation (LFM) signal, based on the quadratic phase function of the signal. A closed form is found for the output signal to noise ratio. The parameter selection problems of the algorithm are also discussed. Thresholds of the input SNR are presented to guarantee a reasonably accurate estimation of the frequency rate at the given signal length. The Monte-Carlo simulations verify the theoretical results.
Keywords :
Monte Carlo methods; frequency estimation; frequency modulation; signal detection; LFM signals; Monte-Carlo simulations; frequency rate estimation; monocomponent linear frequency modulation signal; parameter estimation algorithm; quadratic phase function; theoretical results; Chirp modulation; Fourier transforms; Frequency estimation; Maximum likelihood estimation; Parameter estimation; Performance analysis; Radar; Sampling methods; Signal analysis; Signal to noise ratio; LFM; parameter estimation; performance analysis; quadratic phase function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
Type :
conf
DOI :
10.1109/WCSP.2009.5371658
Filename :
5371658
Link To Document :
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