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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2011-08-29
Detection and Estimation of Multi-Component Polynomial Phase Signals by Constructing Regular Cross Terms
By
Xihui Zhang,

    Dr. Xihui Zhang

    School of Communication and Information Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Jingye Cai,

    Dr. Jingye Cai

    School of Communication and Information Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Lianfu Liu,

    Dr. Lianfu Liu

    School of Communication and Information Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Yuanwang Yang

    Dr. Yuanwang Yang

    School of Communication and Information Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 20, 143-153, 2011
doi:10.2528/PIERM11071110 | Google Scholar

Abstract
A regular cross terms algorithm is derived for the parameter estimation of the multi-component polynomial phase signals in additive white Gaussian noise. The basic idea is first to separate its phase parameters into two sets by nonlinear procedures£¬and then each set has half of the parameters in its auto-terms. Furthermore, using two linear transforms to deal with the two signals respectively, the phase coefficients of cross terms can be regulated for the identification and elimination of false peaks caused by the cross terms. Simulations are presented to illustrate the performance of the proposed algorithm.
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Citation
Xihui Zhang, Jingye Cai, Lianfu Liu, and Yuanwang Yang, "Detection and Estimation of Multi-Component Polynomial Phase Signals by Constructing Regular Cross Terms," Progress In Electromagnetics Research M, Vol. 20, 143-153, 2011.
doi:10.2528/PIERM11071110
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