A Parameter Estimation Method for Poly-Phase Coded Signal Based on the Modified Fractional Fourier Transform

Abstract:

Article Preview

To estimate parameters of poly-phase coded radar signals, a modified Fractional Fourier transform (FrFT) is advanced. This algorithm employs Integrated Quadratic Phase function (IQPF) to estimate frequency rate with which the best degree for Frft is computed. Its computational cost is lower than that of Radon-Wigner transform (RWT) and Radon-Ambiguity transform (RAT). When the signal-to-noise ratio (SNR) is -7 dB, Simulations show its parameter estimation performance closes to the Cramer-Rao Lower Bounds (CRLB).

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim

Pages:

715-718

Citation:

G. Y. Zhang et al., "A Parameter Estimation Method for Poly-Phase Coded Signal Based on the Modified Fractional Fourier Transform", Advanced Materials Research, Vols. 588-589, pp. 715-718, 2012

Online since:

November 2012

Export:

Price:

$38.00

[1] X.H. Yuan, Z.Y. Yu and H.Z. Tao. Detection and parameter estimation method for Frank code pulse compression waveforms. System Engineering and Electronics Vol. 29-6(2007), p.858.

[2] X.H. Yuan, H.Z. Tao and Z.Y. Yu. Parameter estimation methods for polyphase codes derived from LFM waveforms using the radon transform. Signal Processing Vol. 24-2(2008), p.172.

[3] L. Hong, Q.Y. Liang and L. Y Peng. Parameter estimation of intra-pulse modulation for poly-phase coded pulse based on AF. System Engineering and Electronics Vol. 32-9(2010), p.1823.

[4] P.E. Pace. In: Detection and classifying low probability of intercept radar. Artech House publishing, Norwood (2004).

[5] L. Hong, C.S. Rong and Q.Y. Liang. Detection and parameter estimation method for poly-phase coded pulse compression waveforms. System Engineering and Electronics Vol. 33-2(2011), p.310.

[6] Q. Lin, T. Ran. Multicomponent LFM signal detection and parameter estimation based on fractional Fourier transform. Science in China, Series E, Vol. 33-8(2003), p.749.

DOI: https://doi.org/10.1360/02yf0456

[7] H.M. Ozatkas, O. Arikan and M.A. Kutay. Digital Computation of the Fractional Fourier Transform. IEEE Trans. On Signal Processing Vol. 44-9(1996), p.2141.

DOI: https://doi.org/10.1109/78.536672

[8] S.M. Kay. In: Fundamentals of statistical signal processing, volume 2 of Detection theory, Person education publishing, London (1998).