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Volume 39 Issue 7
Jul.  2017
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FAN Qimeng, YIN Chengyou, LIAO Feilong. Analysis of Excitation Optimization of Short Wave Phased Array Based on Quantum-behaved Particle Swarm Optimization[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1769-1773. doi: 10.11999/JEIT160819
Citation: FAN Qimeng, YIN Chengyou, LIAO Feilong. Analysis of Excitation Optimization of Short Wave Phased Array Based on Quantum-behaved Particle Swarm Optimization[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1769-1773. doi: 10.11999/JEIT160819

Analysis of Excitation Optimization of Short Wave Phased Array Based on Quantum-behaved Particle Swarm Optimization

doi: 10.11999/JEIT160819
Funds:

The Natural Science Foundation of Anhui Province (1408085QF121)

  • Received Date: 2016-08-03
  • Rev Recd Date: 2017-01-20
  • Publish Date: 2017-07-19
  • In order to enhance long-distance communication performance and jamming ability in electronic warfare for shortwave equipment, performance improvement of near-ground wideband short wave phased array is required. Firstly, method of moments is adopted to construct the analysis framework, then the radiation field of antenna elements is decomposed into free-space part and Sommerfeld-integral part with the help of formulation of spatial Green,s function, the former part can be expressed in closed form and the latter part can be approximated by two-level DCIM. After that, the efficiency of filling impedance matrix is enormously increased. Finally, based on the impedance matrix, combining with network theory, Quantum-behaved Particle Swarm Optimization (QPSO) is employed to search for optimal excitation phases, through which high gain and beam scanning are realized. Furthermore, point-point sky wave propagation is implemented neatly in the condition of temporal and spatial variation of ionosphere parameters, thus the array is of great value in practical applications.
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