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Volume 38 Issue 1
Jan.  2016
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LU Dan, GE Lu, WANG Wenyi, WANG Lu, JIA Qiongqiong, WU Renbiao. A High-dynamic Null-widen Algorithm Based on Reduced-dimension Space-time Adaptive Processing[J]. Journal of Electronics & Information Technology, 2016, 38(1): 216-221. doi: 10.11999/JEIT150553
Citation: LU Dan, GE Lu, WANG Wenyi, WANG Lu, JIA Qiongqiong, WU Renbiao. A High-dynamic Null-widen Algorithm Based on Reduced-dimension Space-time Adaptive Processing[J]. Journal of Electronics & Information Technology, 2016, 38(1): 216-221. doi: 10.11999/JEIT150553

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

doi: 10.11999/JEIT150553
Funds:

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

  • Received Date: 2015-05-11
  • Rev Recd Date: 2015-09-11
  • Publish Date: 2016-01-19
  • 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.
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