Abstract
The time delay estimation is an active research topic in the field of signal processing. Aiming on signals are on the low SNR conditions, a novel adaptive time delay estimation method is presented by using the fractional low order statistics. First, the signal noise ratio is improved via computing the fractional low order cross-covariation between two received signals and the fractional low order auto-covariation of a received signal. Second, they are put into two adaptive filters. The difference between peak locations of two filter weight efficiencies indicates the relative time delay between two received signals when they are convergent under least mean square criteria. Computer simulation studies show that the estimation performance of the proposed method is good, especially under heavier impulsive noise or lower signal noise ratio.
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.
