基于空时降维处理的高动态零陷加宽算法

卢丹; 葛璐; 王文益; 王璐; 贾琼琼; 吴仁彪

doi:10.11999/JEIT150553

基于空时降维处理的高动态零陷加宽算法

doi: 10.11999/JEIT150553

基金项目:

国家自然科学基金(61172112, 61271404, 61471363)，中央高校基本科研业务费(3122014D003)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-05-11
- 修回日期: 2015-09-11
- 刊出日期: 2016-01-19

A High-dynamic Null-widen Algorithm Based on Reduced-dimension Space-time Adaptive Processing

Funds:

The National Natural Science Foundation of China (61172112, 61271404, 61471363), The Fundamental Research Funds for the Central Universities (3122014D003)

摘要

摘要: 空时自适应处理是卫星导航抗干扰的有效方法。但在高动态环境下，干扰来向动态变化，干扰很容易移出常规自适应抗干扰算法所形成的窄零陷，导致算法失效。常用的解决办法是加宽零陷。该文从干扰来向变化的统计模型出发，提出一种基于拉普拉斯分布的空时加宽零陷算法，该算法能在干扰方向形成较宽的零陷。并且考虑到空时处理将增加算法的计算复杂度，该文将新的空时加宽零陷算法与多级维纳滤波器相结合，给出一种基于空时降维处理的加宽零陷算法。新算法能有效降低算法复杂度，并能在小快拍下得到更好的性能。仿真结果表明新算法的有效性。
- 全球卫星导航系统 /
- 高动态 /
- 空时自适应处理 /
- 降维处理
Abstract: Space-Time Adaptive Processing (STAP) is effective to suppress wideband jammers in satellite navigation system. But in high-dynamic environment, the conventional STAP anti-jamming algorithms are invalid since jammers may easily move out of the array pattern null so that it can not be suppressed. In this paper, a new method of STAP null-widen is deduced based on Laplace distribution model of the changing interference DOA in high-dynamic environment. This method can broaden the width of nulls. But because of using of STAP, the amount of computation is increased significantly, a STAP null-widen method based on reduced-dimension Multistage Wiener Filters (MWF) is given in this paper. The effectiveness of the new method is proved in simulation part.
- Global Navigation Satellite System (GNSS) /
- High-dynamic /
- Space-Time Adaptive Processing (STAP) /
- Reduced-dimension processing

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参考文献(21)

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