Abstract
The problem of estimating the difference in arrival times of a linear non-Gaussian signal at two spatially separated sensors is considered. The signal is assumed to be corrupted by spatially correlated Gaussian noises of unknown cross correlation. A parameter estimation approach is adopted, and the fourth-order cumulant statistics of the noisy measurements are exploited to obtain the time delay estimate. Specific and mild sufficient conditions are given for time delay identifiability via a persistence of excitation condition. Illustrative Monte Carlo simulation examples are also presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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.
