Volume 4 Issue 3
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Article Navigation >  Journal of Radars  > 2015  >  4(3): 309-316
Zhou Hao, Hu Guo-ping, Wang Yun. DOA Estimation of Low Altitude Target Based on Adaptive Step Glowworm Swarm Optimization-multiple Signal Classification Algorithm[J]. Journal of Radars, 2015, 4(3): 309-316. doi: 10.12000/JR14142
Citation: Zhou Hao, Hu Guo-ping, Wang Yun. DOA Estimation of Low Altitude Target Based on Adaptive Step Glowworm Swarm Optimization-multiple Signal Classification Algorithm[J]. Journal of Radars, 2015, 4(3): 309-316. doi: 10.12000/JR14142
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DOA Estimation of Low Altitude Target Based on Adaptive Step Glowworm Swarm Optimization-multiple Signal Classification Algorithm

DOI: 10.12000/JR14142

  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

  • Received Date: 2014-11-25
  • Rev Recd Date: 2015-04-28
  • Publish Date: 2015-06-28
    Abstract
  • The traditional MUltiple SIgnal Classification (MUSIC) algorithm requires significant computational effort and can not be employed for the Direction Of Arrival (DOA) estimation of targets in a low-altitude multipath environment. As such, a novel MUSIC approach is proposed on the basis of the algorithm of Adaptive Step Glowworm Swarm Optimization (ASGSO). The virtual spatial smoothing of the matrix formed by each snapshot is used to realize the decorrelation of the multipath signal and the establishment of a fullorder correlation matrix. ASGSO optimizes the function and estimates the elevation of the target. The simulation results suggest that the proposed method can overcome the low altitude multipath effect and estimate the DOA of target readily and precisely without radar effective aperture loss.

     

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