Range Distributed Floating Target Detection in Sea Clutter via Feature-Based Detector

Shi, Yanling; Xiaoyan, Xie; Li, Dongchen

doi:10.1109/lgrs.2016.2614750

Cited by 28 publications

(20 citation statements)

References 20 publications

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“…To this end, we propose a novel and functional featurebased detector for the detection of the range distributed target in sea clutter. As verified by the analyzed results of the intelligent pixel-processing (IPIX) radar data sets in [34,35], the nonstationary property of the high-resolution sea clutter is mainly reflected in the texture and that of the speckle is not very severe. Generally, the speckle and texture components can be regarded to be statistically independent.…”

Section: Motivation and Related Workmentioning

confidence: 90%

“…Recently, by analyzing the real high-resolution sea clutter datasets, many unconventional methods exploiting the features of clutter have been developed [29][30][31][32][33][34]. Several researchers have demonstrated that the sea clutter time series exhibit fractal and multiracial behaviors.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…Thus, those detectors can not work well in nonstationary sea clutter. In order to break the limitation of sea clutter nonstationary property, another popular feature-based detection method using the consistency factor of speckle is proposed in [34]. That detector can eliminate the influence of nonstationary part of sea clutter and achieve better detection performance.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…Conversely, the target may exhibit strong correlation characteristic and usually has long correlation time. Inspired by this and the works presented in [34], we design a correlation featurebased detector for detecting the range distributed targets embedded within sea clutter.…”

Section: Motivation and Related Workmentioning

confidence: 99%

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Correlation feature-based detector for range distributed target in sea clutter

Yuan

Hong²,

Wang

et al. 2018

EURASIP J. Adv. Signal Process.

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In this paper, a novel correlation feature-based detector is proposed to deal with the challenging problem of detecting a range-distributed target embedded in nonstationary sea clutter. It is well known that sea clutter consists of a speckle component modulated by texture. The nonstationary property of sea clutter is mainly reflected in texture, but its correlation characteristic is mainly dominated by the speckle. Therefore, this detector using the correlation feature of sea clutter can effectively eliminate the negative effect of the nonstationary property of sea clutter on the detection performance. In addition, in order to get rid of the limitation of the knowledge shortage of target scatterers, the modified entropy method is applied to adaptively estimate the number of target scatterers. The real range distributed target data and high-resolution sea clutter are used to evaluate the detector, and the experimental results show that it attains a better detection performance in comparison with several existing detectors. Comparing with the feature-based detector, the proposed detector can effectively reduce the computational complexity.

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Section: Motivation and Related Workmentioning

confidence: 90%

Section: Motivation and Related Workmentioning

confidence: 99%

Section: Motivation and Related Workmentioning

confidence: 99%

Section: Motivation and Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Correlation feature-based detector for range distributed target in sea clutter

Yuan

Hong²,

Wang

et al. 2018

EURASIP J. Adv. Signal Process.

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“…Received radar echoes in the sea environment are affected by the interference produced by the motion of small waves. Without loss of generality, the effect of thermal noise W from (15) is ignored, since, the power spectrum of noise is usually 20 dB below that of the clutter [29], [30]. Statistically, the sea clutter follows a non-Gaussian distribution [3], [4].…”

Section: Statistical Description Of Sea Cluttermentioning

confidence: 99%

Small Boat Detection Using OFDM Radar

Mishra¹,

Singh²,

Bhatia³

2019

RADIOENGINEERING

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Orthogonal frequency division multiplexing (OFDM) based radar systems have recently attracted a lot of research interest. However, demonstration of OFDM radar's capability for target detection using real data is not reported in the open literature. In this work, we demonstrate a method to employ OFDM radar for small boat detection. For this objective, we propose a technique to generate radar return for OFDM waveform using collected radar return data when stepped frequency waveform is transmitted. We, then, derive system model for the estimated radar return data specific to OFDM waveform. Further, a detection test is proposed for the derived signal model and surveillance environment. Close match between the derived analytical expressions and simulation results validates the proposed detector's performance.

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