The Study of the Possibility of Applying Parallel Programming to the Algorithms of Space-Time Adaptive Processing

Błażej Ślesicki, A. Kawalec, Anna Slesicka
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Abstract

The article presents the description, assumptions and subsequent steps of the space-time adaptive processing (STAP) algorithms used as a signal processing tool in radars. The possibilities of object detection using the Sample Matrix Inversion (SMI) and Data Domain Least Squares (DDLS) algorithms were compared and showned. The article shows the impact of the use of parallel programming on the computation time of both algorithms. The main aim of this study was to propose an efficient method for the real-time implementation of the STAP algorithm in airborne radar systems. The idea of using parallel programming in STAP, supported only by the preliminary research results presented above, gives a real chance for the casual implementation of the STAP algorithm in a radar operating in close to real time mode.
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并行编程在时空自适应处理算法中应用的可能性研究
本文介绍了作为雷达信号处理工具的时空自适应处理(STAP)算法的描述、假设和后续步骤。比较并展示了使用样本矩阵反演(SMI)和数据域最小二乘(DDLS)算法进行目标检测的可能性。文章展示了并行编程的使用对两种算法的计算时间的影响。本研究的主要目的是提出一种在机载雷达系统中实时实现STAP算法的有效方法。在STAP中使用并行编程的想法,仅得到上述初步研究结果的支持,为在接近实时模式的雷达中随意实现STAP算法提供了真正的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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0.00%
发文量
23
审稿时长
53 weeks
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