The experimental results showed that the method could improve the radar's weak target detection ability in any environment. 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. Firstly, the radar signal image was decomposed into a single-wave periodic image and then calculated by Hilbert transform. proposed an algorithm based on Hilbert transform theory. 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. The simulation experiment suggested that the model had good resolution performance and improved the resolution of the radar signal by 4 times. A model based on singular value decomposition was designed, and the optimal solution was found by the interior point method. studied the problem of weak radar angular resolution and transformed it into a constrained optimization problem. With the development of technology, radar signal processing has evolved from traditional analog technology to digital signal processing (DSP). The processing of radar signal is the key to radar performance and has important research value.
It is the most advantageous tool for azimuth and distance monitoring when the ship is sailing, which can effectively ensure the safety of the ship. The ship navigation radar is installed on the ship for positioning, navigation, obstacle avoidance, etc. With the development of shipping, ship radar has gradually gained popularity. Radar achieves the positioning and detection of an object by directionally launching electromagnetic energy, receiving the reflected electric wave of the object, and calculating the direction, speed and shape of the object, which has been widely used in fields, such as military, remote sensing, aviation and navigation.
NET RADAR DSP REVIEW LICENSE
This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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. 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. 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 this paper, the signal processing algorithm is studied. * Corresponding author: effect of ship navigation radar signal processing has a great impact on the overall performance of the radar system.
Zhengzhou University of Aeronautics, Zhengzhou, Henan 450046, PR China
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