Title
Exponentially fading MLS estimation of two-dimensional noncausal and nonstationary SAR model parameters
Abstract
This paper studies the problem of recursive estimation of two-dimensional (2-D) noncausal simultaneous autoregressive (SAR) model parameters, and develops an exponentially fading spatially recursive algorithm based on the recently proposed modified least squares (MLS) estimation method. The number of multiplication operations in the proposed algorithm is only about 55% of the number in its existing sliding counterpart, while its tracking performance is similar if the fading factor is carefully selected. A numerical example is included to demonstrate the performance of the proposed algorithm.
Year
DOI
Venue
1994
10.1016/0165-1684(94)90109-0
Signal Processing
Keywords
Field
DocType
MULTIDIMENSIONAL SIGNAL PROCESSING, MODIFIED LEAST SQUARES, FAST ALGORITHMS
Least squares,Autoregressive model,Multidimensional signal processing,Recursion (computer science),Fading,Control theory,Synthetic aperture radar,Algorithm,Multiplication,Estimation theory,Statistics,Mathematics
Journal
Volume
Issue
ISSN
37
2
0165-1684
Citations 
PageRank 
References 
1
0.36
7
Authors
3
Name
Order
Citations
PageRank
Ping-Ya Zhao181.26
E. I. Plotkin2164.65
M. N.S. Swamy326718.50