Abstract
This paper links the joint time delay and frequency estimation problem to the data model with shift invariance characteristics. A novel method for joint time delay and frequency estimation of sinusoidal signals received at multiple separated sensors is derived. The proposed algorithm takes advantage of multi-invariance characteristic to estimate frequency and also employs single invariance property to estimate time delay. The algorithmic performance is shown to be better than both ESPRIT method and state-space realization algorithm. Simulation results illustrate performance of this algorithm.
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.
