Excellence in Research and Innovation for Humanity
@article{(International Science Index):http://waset.org/publications/10007882,
  title    = {Cognitive SATP for Airborne Radar Based on Slow-Time Coding},
  author    = {Fanqiang Kong and  Jindong Zhang and  Daiyin Zhu},
  email	    = {[email protected] }  ,
  country   = {China},
  institution={Nanjing University of Aeronautics and Astronautics},
  abstract  = {Space-time adaptive processing (STAP) techniques have
been motivated as a key enabling technology for advanced airborne
radar applications. In this paper, the notion of cognitive radar is
extended to STAP technique, and cognitive STAP is discussed.
The principle for improving signal-to-clutter ratio (SCNR) based
on slow-time coding is given, and the corresponding optimization
algorithm based on cyclic and power-like algorithms is presented.
Numerical examples show the effectiveness of the proposed method.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {11},
  number    = {9},
  year      = {2017},
  pages     = {990 - 994},
  ee        = {http://waset.org/publications/10007882},
  url       = {http://waset.org/Publications?p=129},
  bibsource = {http://waset.org/Publications},
  issn      = {PISSN:2010-376X, EISSN:2010-3778},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 129, 2017},
}