Open AccessParameter estimation of CFM signals based on MICPF‐HAF
Author(s) -
Zhang Jiancheng,
Su Tao,
Zheng Jibin,
He Xuehui
Publication year - 2018
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.2017.3748
Subject(s) - ambiguity function , quadratic equation , estimation theory , noise (video) , ambiguity , function (biology) , phase (matter) , estimation , computer science , algorithm , statistics , mathematics , telecommunications , artificial intelligence , physics , engineering , image (mathematics) , biology , programming language , radar , geometry , systems engineering , quantum mechanics , evolutionary biology , waveform
A novel algorithm for parameter estimation of cubic frequency modulated (CFM) signals, known as a modified integrated cubic phase function high‐order ambiguity function (MICPF‐HAF), is introduced. The MICPF‐HAF demodulates CFM signals to quadratic FM (QFM) signals via phase differentiation, and then the MICPF is applied to realise the parameter estimation of QFM signals. The analyses and simulations show that the proposed MICPF‐HAF achieves a great improvement in anti‐noise performance in comparison with the HAF and the CPF‐HAF‐based methods.