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Modeling a GTD‐based radar target by the joint soft‐thresholding maximum‐likelihood method
Author(s) -
Jin D. X.,
Fang D. G.,
Cui S. M.
Publication year - 1997
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/(sici)1098-2760(19970805)15:5<332::aid-mop16>3.0.co;2-7
Subject(s) - thresholding , radar , estimator , computer science , algorithm , signal to noise ratio (imaging) , mathematics , artificial intelligence , telecommunications , statistics , image (mathematics)
A new modeling procedure, called the joint soft‐thresholding maximum‐likelihood (JSTML) method, is proposed for radar scattering. This procedure will cover the important practical case where the broadband scattering signal is received with a low signal‐to‐noise ratio (SNR). The JSTML method uses a soft‐thresholding prefiltering process to enhance SNR first, and then finds the estimates of the parameters in GTD‐based model through the maximum‐likelihood (ML) method. The genetic algorithm is used to overcome the issue of convergence to the local minimum. To reduce the computational load, our choice for an initial estimator is the matrix pencil method combined with the GTD‐based model, which provides initial estimates of all parameters, including α, which parametrizes the frequency dependence of the scattering mechanism. The simulation results show that the JSTML method has better noise performance than the ML method. © 1997 John Wiley & Sons, Inc. Microwave Opt Technol Lett 15: 332–334, 1997.