Sea clutter suppression method for shipborne high‐frequency surface‐wave radar

Yi, Chunlei; Ji, Zhenyuan; Xie, Junhao; Sun, Minmin; Yang, Lei

doi:10.1049/iet-rsn.2015.0027

Cited by 16 publications

(18 citation statements)

References 24 publications

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“…Figure 11 gives the comparison between the conventional clutter-suppression algorithms and the proposed algorithm (fast Fourier transform and digital beamforming (FFT–DBF), improved orthogonal weighting [ 26 ], improved oblique projecting [ 27 ], conventional JDL [ 24 ], and proposed algorithm) with three simulated targets and one real target, respectively.…”

Section: Experimental Results and Performance Comparisonmentioning

confidence: 99%

“…The training samples which are similar to the CUT counts more and the proportion of unrelated training samples are weakened. An improved orthogonal weighting (IOW) algorithm [ 26 ] and an improved oblique projection (IOP) algorithm [ 27 ] were proposed, despite significant progress in the direction of arrival estimation, these JDL-like methods use samples in Doppler domain to estimate the CCM and suffer from the same drawbacks as the conventional JDL algorithm.…”

Section: Introductionmentioning

confidence: 99%

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A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar

Guo

Xin

Yao

et al. 2020

Sensors

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Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR). Limited by the quantity of qualified training samples, the performance of the generally used clutter-suppression method, space–time adaptive processing (STAP) degrades in shipborne HFSWR. To deal with this problem, an innovative training sample acquisition method is proposed, in the area of joint domain localized (JDL) reduced-rank STAP. In this clutter-suppression method, based on a single range of cell data, the unscented transformation is introduced as a preprocessing step to obtain adequate homogeneous secondary data and roughly estimated clutter covariance matrix (CCM). The accurate CCM is calculated by integrating the approximate CCM of different range of cells. Compared with existing clutter-suppression algorithms for shipborne HFSWR, the proposed approach has a better signal-to-clutter-plus-noise ratio (SCNR) improvement tested by real data.

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Section: Experimental Results and Performance Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar

Guo

Xin

Yao

et al. 2020

Sensors

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“…The simulation experiment suggested that the model had good resolution performance and improved the resolution of the radar signal by 4 times. Yi et al [ 6] designed an improved orthogonal weighting (OW) algorithm to monitor the targets in sea clutter and proved the effectiveness of the proposed method through simulation experiments. Wu e t al.…”

Section: Introductionmentioning

confidence: 99%

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Marquez-Figueroa

Shmaliy

Ibarra-Manzano

2020

Wseas Transactions on Signal Processing

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The effect of ship navigation radar signal processing has a great impact on the overall performance of the radar system. In this paper, the signal processing algorithm is studied. Firstly, the principle of radar azimuth and distance monitoring is introduced, then the pulse accumulation algorithm and median filtering algorithm are analyzed, and finally a sea clutter suppression algorithm based on sensitivity time control (STC) and a rain and snow clutter suppression algorithm based on constant false alarm rate are designed in order to improve the target monitoring performance of radar. In the test of the algorithm, the radar signal processing algorithm designed in this paper has good precision as monitoring error of the target's azimuth and distance is controlled within 1%; and it also has a better suppression effect of sea clutter and rain and snow clutter, which can suppress the clutter well, improve the target clarity, and ensure the safe navigation of the ship. The experiment proves the effectiveness of the proposed algorithm and provides some theoretical basis for the better processing of radar signals, which is beneficial to improve the environment perception ability of ships in harsh environments and promote the further development of the navigation industry.

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“…HFSWR is used to achieve overhorizon detection of surface ships and ultralow altitude aircraft by the electromagnetic wave characteristics in which high-frequency band (3-15 MHz) vertical polarization electromagnetic wave spreads along the sea surface [1][2][3]. HFSWR is considered to be a major technical means to achieve coastal state control and supervision of the offshore exclusive economic zone.…”

Section: Introductionmentioning

confidence: 99%

Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

Shang

Wang

et al. 2019

Journal of Electrical and Computer Engineering

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In HFSWR (high-frequency surface-wave radar) system, the detection performance is impacted seriously by ionospheric clutter. Frequency selection is an effective method to avoid the effect of ionospheric clutter. The key to the method is the stationarity of ionospheric clutter over a period of time. This paper mainly researches the stationary time statistical property of the ionospheric clutter. A large number of real data including ionospheric clutter in HFSWR are processed and analyzed. It shows that ionospheric clutter in HFSWR has the characteristics of approximate stationarity within a period of time.

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Sea clutter suppression method for shipborne high‐frequency surface‐wave radar

Cited by 16 publications

References 24 publications

A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar

A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

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