|
|
|
| Simulation Research on Clutter Suppression Based on Anti-Interference Waveforms |
| PAN Zixuan1， MU Weimin2， YANG Bowen2， MIU Chen1， GU Cunfeng2 |
| 1. School of Electronic Engineering and Optoelectronic Technology， Nanjing University of Science and Technology， Nanjing 210018， Jiangsu， China； 2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China |
|
|
|
|
Abstract Aiming at the collaborative optimisation of radar anti-jamming and clutter suppression in complex electromagnetic environments, this paper proposeed a triple-parameter agile linear frequency modulation (LFM) waveform design and joint signal processing method. By dynamically varying the initial frequency, pulse width, and pulse repetition interval (PRI), the signal's periodicity was disrupted, enhancing its low probability of intercept and anti-jamming capabilities. To address the clutter coupling effects and non-uniform sampling issues introduced by parameter agility, a sparse reconstruction model based on compressed sensing orthogonal matching pursuit (CS-OMP) was established, enabling the recovery of Doppler frequencies for non-uniform slow-time dimension signals, thus facilitating velocity and distance measurements. In addition, least mean square (LMS) adaptive filtering was integrated to suppress clutter interference. This method significantly enhances the target detection probability and parameter estimation accuracy in cluttered environments while retaining anti-jamming advantages, providing theoretical support for optimising radar in complex electromagnetic warfare scenarios.
|
|
Received: 27 May 2025
Published: 09 September 2025
|
|
|
|
|
|
| [1] |
NI Hanqi, WANG Wei, JIANG Ruiqi, ZHANG Wei, HE Zishu. Research on Efficiency Evaluation of Airborne Fire-Control Radar in Complex Electromagnetic Environment[J]. Air & Space Defense, 2024, 7(5): 73-81. |
| [2] |
HU Bin, HE Qiang, WU Yatao, SUN Qingyang, LIU Yunshen. Modeling and Characteristics Analysis of Two-Dimensional Space-Time Clutter for Airborne Bistatic Radar[J]. Air & Space Defense, 2022, 5(1): 37-44. |
|
|
|
|
2025, Vol. 8 
