Title :
An efficient algorithm for time delay estimation
Author :
Li, Jian ; Wu, Renbiao
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA
fDate :
8/1/1998 12:00:00 AM
Abstract :
We present a conceptually simple and computationally efficient algorithm, which is referred to as WRELAX for the well-known time delay estimation problem. The method is a relaxation-based minimizer of a complicated nonlinear least squares criterion, WRELAX can be applied to detecting and classifying roadway subsurface anomalies by using an ultra-wideband ground-penetrating radar. Numerical and experimental examples are provided to demonstrate the performance of the new algorithm
Keywords :
Fourier transforms; delays; least squares approximations; parameter estimation; pattern classification; radar applications; radar detection; radar signal processing; WRELAX; computationally efficient algorithm; nonlinear least squares; performance; range resolution; relaxation-based minimizer; roadway subsurface anomalies detection; subsurface anomalies classification; time delay estimation; ultra-wideband ground-penetrating radar; weighted Fourier transform; Amplitude estimation; Delay effects; Delay estimation; Ground penetrating radar; Least squares approximation; Matched filters; Maximum likelihood estimation; Multiple signal classification; Signal processing; Ultra wideband technology;
Journal_Title :
Signal Processing, IEEE Transactions on
