Floating Small Target Detection in Sea Clutter Based on Jointed Features in FRFT Domain

Shi, Yanling; Zhang, Xueliang; Liu, Zi-peng

doi:10.1007/978-3-030-36405-2_14

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…In order to obtain the optimal order

\widehat{p}

, we perform FRFT transformation on the echo sequence

x(n)

under different

p

s and then the two‐dimensional peak search shown in () [22] is adopted.…”

Section: Experimental Results and Performance Analysismentioning

confidence: 99%

“…The transform order p determines the performance of the FRFT. Here, a two-dimensional peak search is used in the FRFT to obtain the optimal transform order p [22], that is,…”

Section: Fractional Fourier Transform Algorithmmentioning

confidence: 99%

“…The transform order

p

determines the performance of the FRFT. Here, a two‐dimensional peak search is used in the FRFT to obtain the optimal transform order

\widehat{p}

[22], that is,

\left\{\widehat{p},\widehat{u}\right\}=\mathrm{arg}\underset{p,u}{\mathrm{max}}\vert {X}_{p}(u)\vert

where

\mathrm{argmax}(\cdot )

is the coordinate when the function optimises to the maximum value automatically and

\widehat{p}

is the optimal transform order. It is trivial to obtain the optimal transform order

\widehat{p}

through the auto optimisation in the data in CUT.…”

Section: Sea Clutter Suppression In Fourier Domainmentioning

confidence: 99%

“…After a combination with the constant false alarm rate (CFAR) detector, the detection performance of the orthogonal projection constant false alarm rate (OP-CFAR) was improved if there are no random interferences in the subspace or otherwise declined with random interferences. Another clutter suppression approach is accomplished by transforming the received signal to the fractional Fourier domain, acquiring the largest power in the fractional Fourier transform (FRFT) while assigning the residue power to zero, and transforming the largest power of signal to the time domain [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Orthogonal projection constant false alarm rate algorithm in fractional domain for small surface targets

Shi

Wang

Tingting

2022

IET Signal Processing

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In this article, a constant false alarm rate (CFAR) detection algorithm based on the fractional Fourier transform (FRFT) and orthogonal projection (OP) is proposed. With a low signal‐to‐clutter ratio (SCR), the radar returns of sea‐surface small targets are often submerged by sea clutter. The FRFT can accumulate target energy in the optimal order. Meanwhile, the OP suppresses the sea clutter in a projection space in the FRFT domain, thus enhancing the output SCR. The FRFT and the OP are in conjunction with the CFAR to realise target detection, which is referred to as the FRFT‐OP‐CFAR. For the FRFT‐OP‐CFAR detector, the most important is the selection of the optimal order p $p$ and the calculation of the OP operator ψx⊥ ${\boldsymbol{\psi }}_{x}^{\perp }$. The experimental results show that the proposed FRFT‐OP‐CFAR has a better clutter suppression and detection performance than some detectors in the authors’ comparison.

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“…In order to obtain the optimal order

\widehat{p}

, we perform FRFT transformation on the echo sequence

x(n)

under different

p

s and then the two‐dimensional peak search shown in () [22] is adopted.…”

Section: Experimental Results and Performance Analysismentioning

confidence: 99%

“…The transform order p determines the performance of the FRFT. Here, a two-dimensional peak search is used in the FRFT to obtain the optimal transform order p [22], that is,…”

Section: Fractional Fourier Transform Algorithmmentioning

confidence: 99%

“…The transform order

p

determines the performance of the FRFT. Here, a two‐dimensional peak search is used in the FRFT to obtain the optimal transform order

\widehat{p}

[22], that is,

\left\{\widehat{p},\widehat{u}\right\}=\mathrm{arg}\underset{p,u}{\mathrm{max}}\vert {X}_{p}(u)\vert

where

\mathrm{argmax}(\cdot )

is the coordinate when the function optimises to the maximum value automatically and

\widehat{p}

is the optimal transform order. It is trivial to obtain the optimal transform order

\widehat{p}

through the auto optimisation in the data in CUT.…”

Section: Sea Clutter Suppression In Fourier Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Orthogonal projection constant false alarm rate algorithm in fractional domain for small surface targets

Shi

Wang

Tingting

2022

IET Signal Processing

View full text Add to dashboard Cite

show abstract

“…Then, combined with convex hull learning algorithm, 3D decision region is obtained to realize detection. Similar feature detectors also include the radar echo based feature joint detector proposed in literature [6][7][8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Adaptive CFAR detector based on CA/GO/OS three-dimensional fusion

Qin,

Wang,

Huang

et al. 2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

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A new adaptive CFAR (Constant False Alarm Rate) detector based on CA/GO/OS three-dimensional fusion is proposed in this paper. The detector integrates the best detection performance of CA-CFAR, GO-CFAR and OS-CFAR in homogeneous environment, clutter edge environment and multi-target environment respectively, and uses the convex hull learning algorithm to use the decision convex hull for target detection in three-dimensional space. Through detailed simulation analysis in homogeneous environment, multi-target environment, clutter edge environment, multi-target and clutter edge simultaneous environment, it is proved that the detection performance of the CFAR detector in different environments has maintained a very high level and has a good ability to adapt to clutter environment.

show abstract

Enhanced local sparsity coefficient-based sea-surface floating target detection

Bai

Guo

et al. 2021

2021 International Conference on Control, Automation and Information Sciences (ICCAIS)

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Floating Small Target Detection in Sea Clutter Based on Jointed Features in FRFT Domain

Cited by 3 publications

References 16 publications

Orthogonal projection constant false alarm rate algorithm in fractional domain for small surface targets

Orthogonal projection constant false alarm rate algorithm in fractional domain for small surface targets

Adaptive CFAR detector based on CA/GO/OS three-dimensional fusion

Enhanced local sparsity coefficient-based sea-surface floating target detection

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