Title :
An iterative quadratic method for high resolution delay estimation with known waveform
Author :
Spagnolini, Umberto
Author_Institution :
Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
fDate :
3/1/2000 12:00:00 AM
Abstract :
The iterative delay estimation method is based on its analogy with parameter estimation of sinusoids in correlated noise. It assumes a-priori knowledge of echo waveform, their number, and the structure of the covariance matrix of noise. The advantages of this method are improved resolution as compared to the conventional matched filter approach and convergence, in a few iterations, to maximum likelihood estimate
Keywords :
delay estimation; geophysical techniques; radar imaging; radar theory; remote sensing by radar; terrain mapping; a-priori knowledge; covariance matrix; delay estimation; echo waveform; geophysical measurement technique; high resolution; iterative quadratic method; known waveform; land surface; maximum likelihood estimate; noise; radar remote sensing; terrain mapping; Convergence; Delay estimation; Frequency estimation; Iterative methods; Matched filters; Maximum likelihood estimation; Optimization methods; Polynomials; Signal analysis; Signal processing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
