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Sea Clutter Amplitude Prediction Using a Long Short-Term Memory Neural Network
In the marine environment, shore-based radars play an important role in military surveillance and sensing. Sea clutter is one of the main factors affecting the performance of shore-based radar.
Wu Jiaji, Zhang Jinpeng, Wu Zhensen
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Analysis of multifractality for sea clutter
Proceedings of 2011 IEEE CIE International Conference on Radar, 2011To further research the multifractality of sea clutter, multifractality of IPIX radar sea clutter has been analyzed by Qth-order Moment Structure Partiction Function (Q-MSPF) method in detail in this paper, through simulation analysis, two target detection methods based on analysis of the mass exponent function and the source of multifractality are ...
null Ji Ren, null Wen Sheng
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Modeling and Simulation of Coherent Sea Clutter
IEEE Transactions on Aerospace and Electronic Systems, 2012This paper describes a new technique for modeling and simulating the coherent returns from radar sea clutter, based on the compound K-distribution model for clutter amplitude statistics. Using observations of recorded Doppler spectra, a simple method is proposed for characterizing the temporal variations of the Doppler spectrum observed in a single ...
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Multifractal features of sea clutter
Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322), 2003Sea clutter refers to the backscattered returns from a patch of the sea surface illuminated by a transmitted radar pulse. Since the complicated sea clutter signals depend on the complex wave motions an the sea surface, it is reasonable to study sea clutter from nonlinear dynamics, especially chaos, point of view, instead of simply based on random ...
null Jianbo Gao, null Kung Yao
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Parametric Modeling of Sea Clutter Doppler Spectra
IEEE Transactions on Geoscience and Remote Sensing, 2022For radar modeling and simulation of sea clutter, there are a number of key characteristics used to describe the observed features. These include the mean backscatter power, amplitude statistics, spatial and long-time temporal correlation, and the Doppler spectrum.
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Target Detection for Heterogeneous Cyclostationary Sea Clutter
Circuits, Systems, and Signal Processing, 2013This paper mainly deals with the problem of target detection under the heterogeneous background of cyclostationary sea clutter. Conventional approaches generally assume the ideal condition requiring the secondary data to be homogeneous with the primary data in order to exactly estimate the clutter covariance matrix and implement the adaptive filters ...
Sijia Chen +2 more
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Chaotic detection of small target in sea clutter
IEEE International Conference on Acoustics Speech and Signal Processing, 1993A new method based on chaos and neural network theory for small target detection in sea clutter is presented. The authors present the signal model. They then describe a neural network trained with the least-mean-square (LMS) algorithm for the dynamic reconstruction of sea clutter.
Bob X. Li, Simon Haykin 0001
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Sea clutter contamination test with log-cumulants
SPIE Proceedings, 2012In maritime applications involving estimation of radar sea clutter properties, non-sea-clutter targets and transitions between statistically different oceanographic conditions in the estimation window may lead to inaccurate modeling. Referring to mixtures in the estimation window as contamination, this work introduces a novel sea clutter contamination ...
Ding Tao +2 more
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AR-based growler detection in sea clutter
IEEE Transactions on Signal Processing, 1993A technique that performs better than conventional, noncoherent marine radars in detecting small pieces of glacial ice (growlers) in the sea is reported. A coherent detector based on an autoregressive (AR) parameterization of received radar echoes that distinguishes growler returns from the background sea clutter returns is considered.
Tim J. Nohara, Simon Haykin 0001
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New Spatial Correlation Models for Sea Clutter
IEEE Geoscience and Remote Sensing Letters, 2015In this letter, new models for the spatial correlation of sea clutter texture and intensity are proposed as improved versions of current power law models or exponential decay model. The models for texture have three unknown parameters, and thus can be called triparametric models.
Hao Ding 0015 +3 more
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