Journal
ELECTRONICS LETTERS
Volume 51, Issue 5, Pages 412-413Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/el.2014.4164
Keywords
parameter estimation; frequency modulation; signal processing; coherently integrated cubic phase function; multiple LFM signal analysis; CPF based estimator; parameter estimation; monocomponent linear frequency-modulated signal; multicomponent LFM signal; CICPF algorithm; coherently integrated cubic phase function algorithm; spurious peak suppression; antinoise performance
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Funding
- National Nature Science Foundation of China [60971108, 61101243]
- Government Foundation [2012***009, 9140A21080112HT05260]
- Xidian Foundation [BDY061428]
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The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono-component linear frequency-modulated (LFM) signals. However, it suffers from cross-terms and spurious peaks when dealing with multi-component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto-terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi-component LFM signals, but also acquires high anti-noise performance.
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