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Volume 38 Issue 6
Jun.  2016
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XU Chengfa, HAO Yuxing, LU Lu, GAO Meiguo. Fast Angle Estimation Algorithm Based on Cross-correlation[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1446-1451. doi: 10.11999/JEIT151021
Citation: XU Chengfa, HAO Yuxing, LU Lu, GAO Meiguo. Fast Angle Estimation Algorithm Based on Cross-correlation[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1446-1451. doi: 10.11999/JEIT151021

Fast Angle Estimation Algorithm Based on Cross-correlation

doi: 10.11999/JEIT151021
  • Received Date: 2015-09-10
  • Rev Recd Date: 2016-01-22
  • Publish Date: 2016-06-19
  • In the system of auto-tracking receiver, the coherent integration is needed to increase the signal-to-noise ratio so that the angle measuring accuracy can be obtained satisfactorily when signal-to-noise ratio is low. The traditional method to improve the signal-to-noise ratio is the code-acquisition algorithm in channels respectively, which needs to do the two-dimensional searching both in the time and in Doppler dimension. The third dimension bit jump searching is needed when necessary. Therefore, the computation is huge and it can not be used in fast angle estimation cases. In this paper, a kind of coherent integration angle measuring algorithm based on cross- correlation between channels is proposed. The new algorithm has the characteristics of simple structure, low computation, almost zero delay. Meanwhile, the angle measuring accuracy of the new algorithm can be up to the level of the traditional method, and thus can meet the auto-tracking receiver requirement easily. The theoretical derivation and simulation results verify the effectiveness of the new algorithm.
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