Sea‐surface weak target detection scheme using a cultural algorithm aided time‐frequency fusion strategy

Cai, Zhaohui; Min, Zhang; Liu, Yujiao

doi:10.1049/iet-rsn.2018.0004

Cited by 6 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Firstly, the radar signal image was d ecomposed into a sing le-wave periodic image and then calculated by Hilbert transform. Cai et al [ 8] analyzed the weak target detection of the sea surface, designed a time-frequency distribution (TFD) fusion strategy method based on the population evolution algorithm, and extracted the normalized frequency edge features to reduce the featu re dimension. The exp erimental results showed that the method could improve the radar's weak target detection ability in any environment.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Firstly, the radar signal image was decomposed into a single-wave periodic image and then calculated by Hilbert transform. Cai et al [8] analyzed the weak target detection of the sea surface, designed a time-frequency distribution (TFD) fusion strategy method based on the population evolution algorithm, and extracted the normalized frequency edge features to reduce the feature dimension. The experimental results showed that the method could improve the radar's weak target detection ability in any environment.…”

Section: Introductionmentioning

confidence: 99%

Signal processing algorithm of ship navigation radar based on azimuth distance monitoring

Qin¹

2019

Int. J. Metrol. Qual. Eng.

View full text Add to dashboard Cite

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 to improve the target monitoring performance of radar. In the test of the algorithm, the radar signal processing algorithm designed in this study 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.

show abstract

Cultural Algorithms (CAs)

Jalili

2022

Engineering Optimization: Methods and Applications

View full text Add to dashboard Cite

Sea‐surface weak target detection scheme using a cultural algorithm aided time‐frequency fusion strategy

Cited by 6 publications

References 29 publications

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Signal processing algorithm of ship navigation radar based on azimuth distance monitoring

Cultural Algorithms (CAs)

Contact Info

Product

Resources

About