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基于互相關的快速角度估計算法

徐成發(fā),  郝宇星,  陸潞,  高梅國

徐成發(fā), 郝宇星, 陸潞, 高梅國. 基于互相關的快速角度估計算法[J]. 電子與信息學報, 2016, 38(6): 1446-1451. doi: 10.11999/JEIT151021
引用本文: 徐成發(fā), 郝宇星, 陸潞, 高梅國. 基于互相關的快速角度估計算法[J]. 電子與信息學報, 2016, 38(6): 1446-1451. doi: 10.11999/JEIT151021
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

基于互相關的快速角度估計算法

doi: 10.11999/JEIT151021

Fast Angle Estimation Algorithm Based on Cross-correlation

  • 摘要: 在自跟蹤接收機中，當輸入信噪比較低時，需要通過相參積累來提高信噪比才能獲得滿意的測角精度。傳統(tǒng)提高信噪比的方法為通道內的碼捕獲算法，需要進行在時間維和多普勒維的2維搜索，必要時還需要進行第3維位跳變的搜索補償，運算量非常大，無法實現(xiàn)快速測角。該文提出一種基于通道間互相關的相參積累快速測角算法，新算法具有結構簡單、運算量低、幾乎零延遲的優(yōu)點，且測角精度可以達到傳統(tǒng)相參積累方法的水平，容易滿足自跟蹤接收機快速測角的要求；理論推導和仿真驗證了新算法的有效性。
    Abstract: 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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出版歷程
  • 收稿日期:  2015-09-10
  • 修回日期:  2016-01-22
  • 刊出日期:  2016-06-19

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