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Volume 27 Issue 4
Apr.  2005
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Lu Kun, Liu Xing-zhao. Phase Estimation Accuracy Based on Piecewise Polynomial-Phase Modeling Method with Short Sequences[J]. Journal of Electronics & Information Technology, 2005, 27(4): 523-526.
Citation: Lu Kun, Liu Xing-zhao. Phase Estimation Accuracy Based on Piecewise Polynomial-Phase Modeling Method with Short Sequences[J]. Journal of Electronics & Information Technology, 2005, 27(4): 523-526.

Phase Estimation Accuracy Based on Piecewise Polynomial-Phase Modeling Method with Short Sequences

  • Received Date: 2003-12-18
  • Rev Recd Date: 2004-04-02
  • Publish Date: 2005-04-19
  • In this paper, the performance of polynomial phase coefficient estimation algorithm based on High-order iguity Function (HAF) for non-polynomial phase signal with short sequences is discussed in detail. Further, ntaneous phase estimation method is developed on the basis of the idea of this algorithm. The main idea of the ;ssed algorithm is to divide the data sequence into several segments, approach the instantaneous phase of each short Lent by a low-order polynomial, estimate the parameters of the modeling polynomial-phase signal by HAF and Product methods, and finally integrate the whole phase with estimated instantaneous phase of each segment. The estimation mnance depends comparatively on the achievable accuracy of the segmented phase. The disadvantage of /PHAF-based polynomial-phase estimation method with short and non-polynomial phase sequences is analyzed in this r and some general conclusions are drawn after simulations.
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  • Boashash B. Estimating and interpreting the instantaneous frequency of a signal-Part 1: Fundamentals[J].Proc. IEEE.1992,80(4):520-[2]Boashash B. Estimating and interpreting the instantaneous frequency of a signal-Part 2: Algorithms and applications[J].Proc.IEEE.1992, 80(4):540-[3]Peleg S, Porat B. Estimation and classification of polynomial-phase signals[J].IEEE Trans. on Info. Theory.1991,37(2):422-[4]Peleg S, Porat B. The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase[J].IEEE Trans. on Signal Proc.1991, 39(3):749-[5]Peleg S, Friedlander B. The discrete polynomial-phase transform[J].IEEE Trans. on Signal Proc.1995, 43(8):1901-[6]Barbarossa S, Scaglione A, Giannakis G B. Product high-order ambiguity function for multicomponent polynomial-phase signal modeling[J].IEEE Trans. on Signal Proc.1998, 46(3):691-[7]Peleg S, Porat B, Friedlander B. The achievable accuracy in estimating the instantaneous phase and frequency of a constant amplitude signal[J].IEEE Trans. on Signal Proc.1995, 41(6):2216-[8]Barbarossa S, Scaglione A. Autofocusing of SAR images based on the product high-order ambiguityfunction[J].. IEE Proc.-Radar,Sonar andNavig.1998, 145(5):269-[9]Barbarossa S.[J].Scaglione A. Demodulation of CPM signals using piecewise polynomial-phase modeling[C]. Proc. of ICASSP 98,Seattle, WA, USA: [s.n..1998,:-[10]Lu Kun.[J].Wang Jiong, Liu Xingzhao. A piecewise parametric method based on polynomial phase model to compensate ionospheric phase contamination[C]. Proc. of ICASSP 03,HongKong, China: [s.n..2003,:-
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