Main-Lobe Cancellation of the Space Spread Clutter for Target Detection in HFSWR

Zhang, Xin; Yang, Qiang; Yao, Di; Deng, Weibo

doi:10.1109/jstsp.2015.2468193

Cited by 22 publications

(20 citation statements)

References 15 publications

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“…The traditional main-lobe cancellation method is developed from the generalized side-lobe canceller (GSC) in [14]. It has been presented to suppress the ionospheric clutter and the sea clutter for ocean remote sensing by Xianrong et al [15] and for target detection by Zhang et al [8,16]. The framework of the method is shown in Figure 8.…”

Section: Improved Main-lobe Cancellation Methodsmentioning

confidence: 99%

“…The main-lobe cancellation method has been proposed to suppress the space spread clutter of HFSWR in [8]. The main idea of the method is to estimate the clutter in the looking direction utilizing the clutter in other directions, and the clutter can be cancelled by subtraction.…”

Section: Characteristic Analysis Of Broadenmentioning

confidence: 99%

“…The range property influences how to select the training data to estimate the covariance matrix of the cell under test and the spatial property effects on how to reject the target component. The main-lobe cancellation (MLC) method has been presented to suppress the sea clutter in HFSWR [8]. It achieves clutter suppression by obtaining target-free training data to estimate clutter information in the looking direction with the clutter in other directions.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy

Zhang

Deng

et al. 2019

International Journal of Antennas and Propagation

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The high-frequency hybrid sky-surface wave radar (HFSSWR) is a new kind of over-the-horizon radar system. Combining the advantages of both the sky wave radar and the surface wave radar, HFSSWR has drawn much attention in recent years. But the new system also brings new challenges. One of the most severe problems is that the heterogeneous environment makes a big challenge for the sea clutter suppression processing. Due to the nonstationary properties of the ionosphere, the first-order sea clutter statistics change significantly among range bins. So the new efficient sea clutter suppression method is required, and the clutter characteristics analyses are also in urgent need of research in order to guide the design of the algorithm in the background of HFSSWR. In this paper, utilizing the measured data set, we first analyse the range and spatial characteristics of the nonhomogeneous first-order sea clutter in HFSSWR. Then, an improved main-lobe cancellation (IMLC) method based on single notch space filter and correlation analysis is proposed to get training data which contains precise clutter information. A main-lobe clutter canceller based on the single notch space filter has been developed to block the target component, and an optimized correlation analysis (OCA) strategy is presented to choose the efficient training data. Finally, the method is examined by measured data and the results indicate that the method has a good performance for broadening first-order sea clutter suppression than the traditional method.

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Section: Improved Main-lobe Cancellation Methodsmentioning

confidence: 99%

Section: Characteristic Analysis Of Broadenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy

Zhang

Deng

et al. 2019

International Journal of Antennas and Propagation

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“…Wu et al [12] presented a successful suppression method for ionospheric clutter based on eigenvalue decomposition and a planar array. In addition, another adaptive main‐lobe clutter suppression method was proposed in [13] by using the single‐notch filter technique, where good performance can be achieved. Recently, a fast fully adaptive processing algorithm [14] that is a novel space‐time adaptive processing method (STAP) and that has achieved a very active effect in mitigating ionospheric clutter was introduced by Saleh et al However, these methods generally need a large array aperture or complex structure to ensure the suppression performance.…”

Section: Introductionmentioning

confidence: 99%

Main‐lobe clutter suppression algorithm based on rotating beam method and optimal sample selection for small‐aperture HFSWR

Yao

Deng

Zhang

et al. 2019

IET Radar, Sonar & Navigation

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“…However, this method increases the system complexity and degrades practicability when the antenna field is limited. Based on a single-notch filter, a main-lobe canceller of space spread clutter [16] is developed. Though the excellent suppression performance for sea clutter and ionospheric clutter can be achieved by an effective clutter estimation method, it needs a large-aperture array to ensure nulling depth of the filter and sufficient clutter sample statistics.…”

Section: Introductionmentioning

confidence: 99%

Radio and Clutter Suppression Algorithm Based on Spatial Multiple Beams for Small-Aperture HFSWR

Yao

Zhang

Yang

et al. 2018

International Journal of Antennas and Propagation

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Radio and clutter that cover a certain number of range-Doppler-angle cells have a major impact on the detection performance of a high-frequency surface wave radar (HFSWR) system. Especially for a small-aperture array, the angle spectrums of radio and clutter suffer from severe broadening, so the targets that are more easily submerged in the broadened radio and clutter can be hardly detected. To tackle this issue, this paper proposes an algorithm for radio decontamination and clutter suppression to enable detection of the submerged targets. First, the spatial correlation of the array is derived, and the characteristics of radio and clutter are analyzed based on angle-Doppler joint eigenvector. Then owing to the analysis, the information of radio and clutter in the main beam can be accurately estimated from that in the auxiliary beams and eliminated by subtracting it. The results of simulations and measured data indicate that the proposed method offers a significant performance improvement and has a strong robustness against the array amplitude-phase errors.

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Main-Lobe Cancellation of the Space Spread Clutter for Target Detection in HFSWR

Cited by 22 publications

References 15 publications

A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy

A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy

Main‐lobe clutter suppression algorithm based on rotating beam method and optimal sample selection for small‐aperture HFSWR

Radio and Clutter Suppression Algorithm Based on Spatial Multiple Beams for Small-Aperture HFSWR

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