Application of the two dimensional frequency domain least squares algorithm to airborne surveillance radar detection

2002 ◽  
Author(s):  
Qingwen Zhang ◽  
W.B. Mikhael
Keyword(s):  
Least Squares ◽  
Frequency Domain ◽  
Two Dimensional ◽  
Radar Detection ◽  
Least Squares Algorithm

APPLICATION OF THE TWO-DIMENSIONAL FREQUENCY DOMAIN LEAST SQUARES ALGORITHM TO AIRBORNE SURVEILLANCE RADAR DETECTION

2000 ◽  
Vol 10 (05n06) ◽  
pp. 293-303
Author(s):  
QINGWEN ZHANG ◽  
WASFY B. MIKHAEL
Keyword(s):  
Least Squares ◽  
Frequency Domain ◽  
Airborne Radar ◽  
Order Selection ◽  
Two Dimensional ◽  
Radar Detection ◽  
Test Statistic ◽  
Model Order Selection ◽  
Model Order ◽  
Simulation Based

The application of the two-dimensional frequency domain least squares (2D–FD–LS) algorithm to parametric-based airborne radar detection is discussed herein. Several issues such as model order selection and model stabilization are considered. The frequency-domain version of the test statistic is also derived here. Simulation-based results demonstrate that good performance can be obtained.

Transient Two-Dimensional Problems Utilizing The Least Squares Algorithm

1975 ◽  
Vol 97 (3) ◽  
pp. 467-469 ◽  
Author(s):  
J. C. Bruch ◽  
R. W. Lewis
Keyword(s):  
Least Squares ◽  
Finite Difference Methods ◽  
Computer Time ◽  
Two Dimensional ◽  
Time Step ◽  
Time Stepping ◽  
Large Time Step ◽  
Least Squares Algorithm ◽  
Methods Analytical ◽  
And Storage

The least squares time-stepping algorithm, which has previously been shown by the authors to be competitive for one-dimensional problems, is applied to the solution of several two-dimensional examples having constant material properties. The results are compared against answers obtained using recurrence relationships based on the finite element and finite difference methods. Analytical results for one of the examples are also used for comparison. The least squares algorithm proved to be more accurate for equal values of time step especially in the large time step cases. It, however, requires more computer time and storage than the other methods used. Several other limitations of the scheme are also presented.

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