| GPS空时抗干扰中一种改进的MWF算法的应用 |
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| 引用本文： | 张怡,姚习平,黄印. GPS空时抗干扰中一种改进的MWF算法的应用[J]. 电子设计工程, 2011, 19(23): 92-95 |
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| 作者姓名： | 张怡 姚习平 黄印 |
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| 作者单位： | 西北工业大学,陕西西安,710129 |
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| 基金项目： | 基金项目:航空科学基金 |
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| 摘 要： | 在GPS接收机的抗干扰抑制中，较单纯时域、频域或空域滤波方法，空时联合处理利用了更多的接收数据信息，因而可以获得更好的干扰抑制性能。针对空时处理方法计算量大的缺陷，文中通过降维处理思想的分析，给出了一种对MWF的前向递推过程进行简化的方法，以此来降低运算量，缩短运算所需的时间，并将这种方法与一般方法进行降秩性能和抗干扰...
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| 关 键 词： | GPS 空时处理 MWF 降维处理 |
Application of an improved MWF algorithm in GPS space-time adaptive processing |
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| ZHANG Yi,YAO Xi-ping,HUANG Yin. Application of an improved MWF algorithm in GPS space-time adaptive processing[J]. Electronic Design Engineering, 2011, 19(23): 92-95 |
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| Authors: | ZHANG Yi YAO Xi-ping HUANG Yin |
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| Affiliation: | (Northwestern Polytechnical University,Xi’an 7101269,China) |
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| Abstract: | Compared with simple time domain, frequency domain or spatial filter method, space-time adaptive processing （STAP） can use more received data, so the better interference rejection performance can be gotten. In order to reduce the computation, a simplified multistage nested Wiener filter （MWF） method, which is improved on the basis of 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 performance. Simulation results show that, this improved MWF method dramatically reduces the amount of computation in GPS space-time interference suppression. |
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| Keywords: | GPS space-time adaptive processing MWF dimension reduced processing |
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