Abstract
In this paper, an integrated cubic phase function (ICPF) for parameter estimation of linear frequency-modulated (LFM) signals is introduced. The ICPF extends the standard cubic phase function (CPF) and provides improved estimation performances in cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals, at the cost moderately increased complexity. The asymptotic bias and mean squared error (MSE) of an ICPF-based estimator are derived in closed-form and verified by computer simulation. A comparison with several existing approaches shows that the ICPF serves as a good candidate for LFM signal analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
