摘要
针对机载双基雷达杂波距离向分布非平稳,统计型空时自适应处理技术杂波抑制性能急剧下降问题,提出一种基于指数形式时变加权算法。该方法引入距离的非线性函数表示杂波的变化特性,通过对样本数据进行指数形式扩展,实现杂波非平稳分布的补偿。理论分析和仿真实验表明,所提方法能有效抑制来自不同距离的双基杂波,在急剧变化的杂波环境下性能优于时变加权法和局域处理法。
To deal with the problems of airborne bistatic clutter nonstationarity in range and the sharp degradation in performance of statistical space time adaptive processing(STAP)methods,an exponent time-varying weighting method is proposed.By using a nonlinear function of range to represent the bistaic clutter variation and extending the received data vectors with exponential components,this algorithm can compensate the clutter nonsationarity of bisatic radar.Theoretical analysis and simulation results indicate that the proposed method can effectively suppress the bistatic clutter received from different range cells and is superior to both time-varying weighting methods and local processing techniques in the rapidly changing environment.
作者
赵军
吴迪
沈明威
朱岱寅
ZHAO Jun;WU Di;SHEN Mingwei;ZHU Daiyin(Key Laboratory of Radar Imaging and Microwave Photonics,Ministry of Education,Aviation Sergeant School,Air Force Engineering University,Xinyang 464000,China;College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;College of Computer and Information,Hohai University,Nanjing 211100,China)
出处
《电讯技术》
北大核心
2021年第1期63-68,共6页
Telecommunication Engineering
基金
国家自然科学基金资助项目(61671240,61771182)
教育部重点实验室基金(RIMP2019006)。
关键词
机载双基雷达
空时自适应处理
指数函数
时变加权算法
杂波抑制
airborne bistatic radar
space time adaptive processing
exponent function
time-varying weighting method
clutter suppression
