【摘 要】
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Spatial Temporal Adaptive Processing (STAP) nulling algorithms have been widely used in GNSS anti-jamming receivers using multi-element antennas.Traditionally,these algorithms are implemented on hardw
【机 构】
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Department of Electronic Engineering, Tsinghua University, Beijing, China
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Spatial Temporal Adaptive Processing (STAP) nulling algorithms have been widely used in GNSS anti-jamming receivers using multi-element antennas.Traditionally,these algorithms are implemented on hardware due to their high computational complexity.This makes it costly and inconvenient to test and verify different algorithms and parameters.In order to address this issue,a GNSS anti-jamming platform for STAP nulling algorithms is implemented using a software approach.On this platform,raw data from 8 element channels can be processed real-time with configurable algorithms and parameters.Weights can be calculated by various methods such as SMI,LMS and RLS.Plenty of intermediate data can be observed immediately or saved for post analysis.To meet the real-time requirement,a GPU is used as an accelerator and a batched method is adopted in programming.Besides,a software receiver is integrated for anti-jamming performance evaluation.Tests results show that this platform has a good performance in both computational efficiency and interference mitigation,making it a promising product in research and prototyping,as well as practical applications such as ground stations.
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