系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

基于GPU的外辐射源雷达信号处理实时实现方法

李晓波1,2,3, 关欣1,2,3, 仲利华1,2, 胡东辉1,2, 丁赤飚2   

  1. 1. 中国科学院电子学研究所, 北京 100190;
    2. 中国科学院空间信息处理与应用系统技术重点实验室, 北京 100190;
    3. 中国科学院大学, 北京 100190
  • 出版日期:2014-11-03 发布日期:2010-01-03

Real-time implementation of signal processing for passive radars based on GPU

LI Xiao-bo1,2,3, GUAN Xin1,2,3, ZHONG Li-hua1,2, HU Dong-hui1,2, DING Chi-biao2   

  1. 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Key Laboratory of Spatial Information Processing and Application System Technology, Chinese Academy of Sciences, Beijing 100190, China;
    3. University of Chinese Academy of Science, Beijing 100190, China
  • Online:2014-11-03 Published:2010-01-03

摘要:

随着外辐射源雷达技术的发展,实时处理能力成为制约外辐射源雷达系统性能的重要因素。现有的处理手段仅适用于较小采样率信号以及低速目标的情况,对于数字电视信号等大带宽高采样率的外辐射源雷达信号以及高速小目标的情况很难满足实时性的要求。提出了一种基于图形处理器的外辐射源雷达信号处理实时实现方法,能够提高分块最小均方误差算法和Keystone算法的并行处理能力。通过真实数据验证表明基于所提结构的实现方法能够满足外辐射源雷达信号处理实时性的需求。

Abstract:

With the development of passive radars, real time processing ability has become an important factor of the system performance. The exiting processing means are only suitable for low sample rate signals or low speed targets. When it comes to high sample rate signals (such as digital TV signals) or small high speed targets real time processing is difficult to achieve. A real time implementation of signal processing for passive radars based on the graphic processing unit (GPU) is presented, which can enhance the parallel processing capability of the block least mean square (BLMS) algorithm and the Keystone algorithm. Furthermore, the performance of the proposed implementation is verified by the processing of real data.