An Efficient Parameter Estimation Algorithm of the GTD Model Based on the MMP Algorithm

In this paper, a MMP algorithm is proposed. Compared with the classical algorithm, the proposed algorithm reduces the noise threshold of stably extractable parameters by 15 dB and reduces the computing time by ten or more. As an efficient way to interpret the measurements of high-frequency Inverse S...

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Vydáno v:	IEEE access Ročník 11; s. 22542 - 22552
Hlavní autoři:	Jia-Hua, Xv, Xiao-Kuan, Zhang, Shu-Yu, Zheng, Bin-Feng, Zong, Qian-Kuo, Ma, Yang, Wang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Complexity Computational efficiency Computing time Diffraction theory Feature extraction geometric theory of diffraction (GTD) model Inverse synthetic aperture radar Matched pursuit Matching pursuit algorithms Mathematical models Noise reduction Noise threshold orthogonal matching pursuit (OMP) algorithm Parameter estimation Radar Radar cross-sections Radar imaging Radar scattering Root-mean-square errors Scattering Signal to noise ratio
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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