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

Guo Yi Zhang; Xu Zhou Zhang; Jia Na Li

doi:10.4028/www.scientific.net/AMR.588-589.715

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589A Parameter Estimation Method for Poly-Phase Coded...

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

Abstract:

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).

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Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

715-718

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.715

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Online since:

November 2012

Authors:

Guo Yi Zhang, Xu Zhou Zhang, Jia Na Li

Keywords:

Fractional Fourier Transform (FrFT), Integrated Quadratic Phase Function, Parameter Estimation, Poly-Phase Coded Radar Signal

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References

[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.

Google Scholar

[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.

Google Scholar

[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.

Google Scholar

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

Google Scholar

[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.

Google Scholar

[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: 10.1360/02yf0456

Google Scholar

[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: 10.1109/78.536672

Google Scholar

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

Google Scholar