Content area
Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification. To address the challenge of existing filter parameters being unable to adapt in real-time to the characteristics of sea clutter, this paper integrates ocean numerical models into the sea clutter spectrum estimation. By adjusting filter parameters based on the spectral characteristics of sea clutter, the accurate suppression of sea clutter is achieved. In this paper, the Weather Research and Forecasting (WRF) model is employed to simulate the ocean dynamic parameters within the radar detection area. Hydrological data are utilized to calibrate the parameterization scheme of the WRF model. Based on the simulated ocean dynamic parameters, empirical formulas are used to calculate the sea clutter spectrum. The filter coefficients are updated in real-time using the sea clutter spectral parameters, enabling precise suppression of sea clutter. The suppression algorithm is validated using X-band radar-measured sea clutter data, demonstrating an improvement factor of 17.22 after sea clutter suppression.
Details
Hydrologic data;
Accuracy;
Oceanic analysis;
Ocean models;
Radar data;
Signal processing;
Weather;
Superhigh frequencies;
Parameterization;
Weather forecasting;
Radar;
Doppler effect;
Simulation;
Parameter identification;
Radar detection;
Fourier transforms;
Ocean dynamics;
Surface clutter;
Numerical models;
Mathematical models;
Target detection;
Algorithms;
Clutter;
Real time;
Radar systems;
Climate change
; Wei, Zhaoqiang 2
; Chen, Yujie 1
; Meng, Xiaoxia 1 ; Zhang, Hao 3 1 Faculty of Information Science and Engineering, School of Electronic Engineering, Ocean University of China, Qingdao 266100, China;
2 Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China
3 Faculty of Information Science and Engineering, School of Electronic Engineering, Ocean University of China, Qingdao 266100, China;