A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR

Yuan JunQuan; Huang FuKan

Volume 27 Issue 8

Aug. 2005

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2005 > 27(8): 1193-1196

Yuan JunQuan, Huang FuKan. A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1193-1196.

Citation:

Yuan JunQuan, Huang FuKan. A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1193-1196.

Yuan JunQuan, Huang FuKan. A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1193-1196.

Citation:

Yuan JunQuan, Huang FuKan. A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1193-1196.

PDF( 558 KB)

A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR

Received Date: 2004-03-05
Rev Recd Date: 2004-10-15
Publish Date: 2005-08-19

Abstract

Abstract

Discrete Ambiguity Function （DAF） is used to estimate parameters of LFM signal after improving SNR based on recomposing sequences. This method does not add the number of the sampling data and ensures real-time processing, but can improve the precision of parameters estimation and reduce the need for input Signal-to-Noise Ratio（SNR） in order to estimating exactly. This paper analyses theoretically its basic principle and performance. Simulation results prove the validity of this method.

FullText(HTML)

References(1)

References

Abatzoglou T J. Fast maximum likelihood joint estimation of frequency and frequency rate. IEEE Trans. on AES, 1986, 22(6):708 - 715.[2]Ikram M Z, Abed-Meraim K, Hua Y B. Estimating the parameters of chirp signals: an iterative approach[J].IEEE Trans. on SP.1998,46(12):3436-[3]Djuric P M, Kay S M. Parameter estimation of chirp signals.IEEE Trans. onASSP, 1990, 38(12): 2118 - 2126.[4]Xia X G. Discrete chirp-Fourier transform and its application to chirp rate estimation[J].IEEE Trans. on SP.2000, 48(11):3122-[5]Peleg S, Porat B. Estimation and classification of polynomial-phase signals[J].IEEE Trans. on IT.1991, 37(2):422-[6]Peleg S, Porat B. Linear FM signal parameter estimation from discrete time observations. IEEE Trans. on AES, 1991, 27(4):607 - 616.[7]Peleg S, Porat B. The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase[J].IEEE Trans. on SP.1991, 39(3):749-[8]Rife D C, Boorstyn R R. Single-tone parameter estimation from discrete-time observations[J].IEEE Trans. on IT.1974, 20(5):591-

Relative Articles

Supplements(0)

Cited By

Proportional views