Open AccessParameter 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) - spurious relationship , estimator , quadratic equation , component (thermodynamics) , algorithm , signal (programming language) , estimation theory , noise (video) , phase (matter) , mathematics , function (biology) , independent component analysis , computer science , mathematical optimization , statistics , physics , artificial intelligence , geometry , quantum mechanics , evolutionary biology , biology , image (mathematics) , thermodynamics , programming language
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.