Parameter estimation of CFM signals based on MICPF‐HAF. Issue 7 (1st April 2018)

• Record Type: Journal Article
• Authors: Zhang, Jian‐cheng; Su, Tao; Zheng, Ji‐bin; He, Xuehui
• Is Part Of: Electronics letters. Volume 54:Issue 7(2018)
• Page Start: 456
• Page End: 458
• Publication Date: 2018-04-01
• Subjects: parameter estimation -- frequency modulation -- signal processing -- demodulation; quadratic FM signals -- parameter estimation -- QFM signals -- MICPF‐HAF -- modified integrated cubic phase function high‐order ambiguity function -- CFM signal estimation -- cubic frequency modulated signal estimation -- phase differentiation -- demodulation; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.3748
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.