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