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GPS接收机空时抗干扰降维处理方法研究
引用本文:司东晓,蔚保国. GPS接收机空时抗干扰降维处理方法研究[J]. 无线电工程, 2010, 40(7): 22-24
作者姓名:司东晓  蔚保国
作者单位:中国电子科技集团公司第五十四研究所,河北,石家庄,050081;河北省卫星导航技术与装备工程技术研究中心,河北,石家庄,050081
基金项目:国家高技术研究发展计划(863计划) 
摘    要:在GPS接收机空时抗干扰的研究过程中,计算量大是目前主要的瓶颈,因此研究降维简化处理算法成为空时处理最关键的问题之一。在已给空时二维自适应滤波模型的基础上,通过对降维处理思想的分析,提出了一种基于多级维纳滤波(MWF)模型的改进方法——简化多级维纳滤波方法,并与一般的降维方法进行了均方误差(MSE)性能分析,仿真试验验证了该方法的有效性。

关 键 词:GPS  空时抗干扰  简化多级维纳滤波(MWF)方法  降维处理

Study on Dimension-reduced Processing Methods for Space-time Interference Suppression in GPS Receiver
SI Dong-xiao,YU Bao-guo. Study on Dimension-reduced Processing Methods for Space-time Interference Suppression in GPS Receiver[J]. Radio Engineering of China, 2010, 40(7): 22-24
Authors:SI Dong-xiao  YU Bao-guo
Affiliation:1. The 54th Research Institute of CECT, Shijiazhuang Hebei 050081, China;2. Hebei Satellite Navigation Technology and Equipment Engineering Technology Research Center, Shijiazhuang Hebei 050081, China )
Abstract:In the study on space-time interference suppression in GPS receiver, dimension-reduced methods become one of the most critical issues because of the great amount of computations. After the model of space-time adaptive filter is offered, a simplified multistage nested Wiener filter (MWF) method, which is improved on the basis of the multistage nested Wiener filter (MWF) model, has been proposed through analyzing the dimension-reduced processing idea, and it is compared with some general dimension-reduced methods for mean square error (MSE) performance. The simulation result validates its validity. Good result is achieved when this simplified MWF method is applied in GPS space-time interference suppression.
Keywords:GPS
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