Digital delay filter can realize signal delay of different receiving channelswhich is often used in the field of communication and many scenarios where delay affects signal analysis. At present, the existing delay algorithm is difficult to be directly applied to the scene because it can only delay integer sampling points, or because the algorithm is complex and the convergence speed is slow. For this, this paper improves the existing adaptive algorithm on the basis of Farrow structure and adaptive algorithm. The improved algorithm reduces the calculation amount of each iteration through the approximation method. The change of step length in the iteration process is analyzed mathematically, and the step length change function is constructed. The experimental results show that the improved algorithm reduces the number of iterative convergence by at least 4 times compared with the original algorithm, and has excellent performance in time delay estimation of unknown signals.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.