scholarly journals A Novel Method of Small Target Detection in Sea Clutter

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Peng Wu ◽  
Jun Wang ◽  
Wenguang Wang
Keyword(s):  
Grazing Angle ◽  
Decomposition Theorem ◽  
Scattering Matrix ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Sea Clutter ◽  
New Approach ◽  
Small Target Detection ◽  
Novel Method ◽  
Marine Radar

Detecting low observable targets within sea clutter at low grazing angle is one of the research hotspots in radar signal processing community. In this paper, we have proposed a novel method based on polarimetric decomposition theorem. The polar characteristics of sea clutter has been analyzed, with the parameters after the decomposition of target scattering matrix. The scattering entropy and the scattering angle are the key parameters to discriminate the target from the sea clutter. The technique is designed to suppress unwanted sea clutter at polarimetric domain. Datasets from real marine radar are used to illustrate the performance of the new approach.

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

2019 ◽  
Vol 10 ◽  
pp. 12
Author(s):  
Yuxin Qin ◽  
Yu Chen
Keyword(s):  
Signal Processing ◽  
Processing Algorithm ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Good Precision ◽  
Clutter Suppression ◽  
Constant False Alarm Rate ◽  
Sea Clutter ◽  
Signal Processing Algorithm ◽  
Ship Navigation

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.

scholarly journals Signal Processing Algorithm of Ship Navigation Radar Based on Azimuth Distance Monitoring

2020 ◽  
Vol 16 ◽  
Keyword(s):  
Signal Processing ◽  
Processing Algorithm ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Good Precision ◽  
Clutter Suppression ◽  
Constant False Alarm Rate ◽  
Sea Clutter ◽  
Signal Processing Algorithm ◽  
Ship Navigation

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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