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Volume 44 Issue 9
Sep.  2022
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WANG Qi, LIAO Zhizhong, YAN Fei. Online Estimation for Phased Array Seeker Pointing Error Slope Using Rao-Blackwellised Particle Filters[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3178-3185. doi: 10.11999/JEIT210607
Citation: WANG Qi, LIAO Zhizhong, YAN Fei. Online Estimation for Phased Array Seeker Pointing Error Slope Using Rao-Blackwellised Particle Filters[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3178-3185. doi: 10.11999/JEIT210607

Online Estimation for Phased Array Seeker Pointing Error Slope Using Rao-Blackwellised Particle Filters

doi: 10.11999/JEIT210607
  • Received Date: 2021-06-21
  • Rev Recd Date: 2021-09-28
  • Available Online: 2021-10-22
  • Publish Date: 2022-09-19
  • Considering the problem of parasitic loop oscillation caused by pointing error slope of phased array seeker for missile guidance system, an estimation algorithm of pointing error slope is proposed, and target state can be estimated synchronously. Based on the Rao-Blackwellised Particle Filters (RBPF), the simultaneous estimation of pointing error slope and target state is decomposed into two problems: one is the posterior estimation of pointing error slope, the other is the target state estimation conditional on the estimation of pointing error slope. The derivation process of the algorithm is given and the numerical simulation is carried out. The simulation results show that the algorithm proposed has better performance in estimating the pointing error slope of phased array seeker, and the target state information can be estimated accurately at the same time. Using this information to form the guidance command can eliminate the adverse effects of pointing error slope on the guidance system, and improve system stability and guidance accuracy.
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