Parameter estimation method for multiple quadratic frequency‐modulated signals | Zendy

Li Dong | Zendy; Su Jia | Zendy; Wang Tao | Zendy; Lin Huan | Zendy

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Parameter estimation method for multiple quadratic frequency‐modulated signals

Author(s) -

Li Dong,

Su Jia,

Wang Tao,

Lin Huan

Publication year - 2015

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

ISSN - 1350-911X

DOI - 10.1049/el.2015.2094

Subject(s) - quadratic equation , estimation theory , frequency deviation , estimation , frequency modulation , mathematics , computer science , control theory (sociology) , algorithm , electronic engineering , telecommunications , radio frequency , automatic frequency control , engineering , artificial intelligence , geometry , control (management) , systems engineering

Generalised cubic phase function (GCPF)‐based estimator is efficient in estimating the third‐order coefficient for mono‐component quadratic frequency‐modulated (QFM) signal. However, it suffers from cross‐terms and spurious peaks when dealing with multi‐component QFM signals. To efficiently estimate the third‐order coefficients of multi‐component QFM, a novel coherently integrated GCPF (CIGCPF) algorithm is proposed to enhance the auto‐terms and suppress the cross‐terms and spurious peaks. Comparisons with state‐of‐the‐art algorithms indicate that CIGCPF not only solves the identification problem for multi‐component QFM signals, but also can acquire higher anti‐noise performance.

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