Estimation of Sea Clutter Parameters Based on Multiple Characteristic Quantities

doi:10.3969/j.issn.1000-1093.2020.03.012

Abstract

Abstract: The sea clutter is studied and analyzed to effectively evaluate the imaging performance of missile-borne synthetic aperture radar (SAR) under different sea conditions. In view of the difficulty in accurately fitting some characteristic quantities, such as peak value and amplitude width of sea clutter amplitude distribution, by traditional parameter estimation method, a parameter estimation method based on multiple characteristic quantities is proposed. The amplitude distribution characteristics and temporal correlation of sea clutter are used to establish a sea clutter model based on SIRP method. Four characteristic quantities, including magnitude with the highest probability, magnitude distribution probability with the highest probability, amplitude width with half of probability, and amplitude critical point with half of probability, which reflect the amplitude distribution of sea clutter, are constructed, and the quantitative relations among scale parameter, shape parameter and four characteristic quantities are established by using BP neural network. The determination coefficients are 0.992 and 0.994, respectively. On this basis, the measured data and the trained BP neural network are used to solve the scale and shape parameters, and an amplitude distribution model of sea clutter is established, which is compared with empirical formula and mixed estimation method. The signal power of sea clutter is determined by analyzing the back-scattering coefficient under different sea conditions, so as to provide a sea clutter model for evaluating the imaging performance of missile-borne SAR under different sea conditions. Key

Key words: seaclutter, multiplecharacteristicquantity, missile-bornesyntheticapertureradar, parameterestimation

CLC Number:

TN959.1⁺7

HE Yaomin， HE Huafeng， XU Yongzhuang， WANG Yifan， SU Jing. Estimation of Sea Clutter Parameters Based on Multiple Characteristic Quantities[J]. Acta Armamentarii, 2020, 41(3): 517-525.

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第41卷第3期2020 年3月
兵工学报ACTA ARMAMENTARII
Vol.41No.3Mar.2020

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