Volume 44 Issue 10
Nov.  2015
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Wang Wei, Lin Defu, Xu Ping. Strap-down seeker LOS angular rate estimation[J]. Infrared and Laser Engineering, 2015, 44(10): 3066-3069.
Citation: Wang Wei, Lin Defu, Xu Ping. Strap-down seeker LOS angular rate estimation[J]. Infrared and Laser Engineering, 2015, 44(10): 3066-3069.

Strap-down seeker LOS angular rate estimation

  • Received Date: 2015-02-11
  • Rev Recd Date: 2015-06-27
  • Publish Date: 2015-10-25
  • With obvious advantages comparing to gimbaled seekers, strap-down seekers attract more and more attention from military of different countries. Since strap-down seeker can not measure the line-of-sight(LOS) angular rate directly, the problem of LOS angular rate extraction is solved firstly, which generally has two methods. One method is to get the LOS angular rate by solving the differential of LOS angle versus time, the other is to estimate the LOS angular rate by Kalman filter. The models of these two methods was built and simulations of them were made respectively. The simulation result shows that, the second method is better than the first one. The time delay of LOS angular rate estimated by Kalman filter is relatively shorter than that obtained through differential network. With the measurement noises at the same level, the output LOS angular rate noise of the second method is smaller than the first one.
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Strap-down seeker LOS angular rate estimation

  • 1. School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China

Abstract: With obvious advantages comparing to gimbaled seekers, strap-down seekers attract more and more attention from military of different countries. Since strap-down seeker can not measure the line-of-sight(LOS) angular rate directly, the problem of LOS angular rate extraction is solved firstly, which generally has two methods. One method is to get the LOS angular rate by solving the differential of LOS angle versus time, the other is to estimate the LOS angular rate by Kalman filter. The models of these two methods was built and simulations of them were made respectively. The simulation result shows that, the second method is better than the first one. The time delay of LOS angular rate estimated by Kalman filter is relatively shorter than that obtained through differential network. With the measurement noises at the same level, the output LOS angular rate noise of the second method is smaller than the first one.

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