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可處理多普勒量測的最佳線性無偏估計算法

王煒 李丹 姜禮平 金裕紅

王煒, 李丹, 姜禮平, 金裕紅. 可處理多普勒量測的最佳線性無偏估計算法[J]. 電子與信息學報, 2015, 37(6): 1336-1342. doi: 10.11999/JEIT141113
引用本文: 王煒, 李丹, 姜禮平, 金裕紅. 可處理多普勒量測的最佳線性無偏估計算法[J]. 電子與信息學報, 2015, 37(6): 1336-1342. doi: 10.11999/JEIT141113
Wang Wei, Li Dan, Jiang Li-ping, Jin Yu-hong. The Best Linear Unbiased Estimation Algorithm with Doppler Measurements[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1336-1342. doi: 10.11999/JEIT141113
Citation: Wang Wei, Li Dan, Jiang Li-ping, Jin Yu-hong. The Best Linear Unbiased Estimation Algorithm with Doppler Measurements[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1336-1342. doi: 10.11999/JEIT141113

可處理多普勒量測的最佳線性無偏估計算法

doi: 10.11999/JEIT141113
基金項目: 

國家自然科學基金(51307128, 60873032),中央高校基本科研業(yè)務費專項資金(2012-Ia-045),湖北省自然科學基金(2013CFB437)和海工大基金(HJGSK2014G121)資助課題

The Best Linear Unbiased Estimation Algorithm with Doppler Measurements

  • 摘要: 基于目標位置量測的一些量測轉換方法已被廣泛使用在目標跟蹤應用中,使得卡爾曼濾波器得以在直角坐標系中應用。但是,這些量測轉換方法有一些會導致估計性能惡化的根本缺陷。事實上,除了位置量測外,理論計算和實踐已經(jīng)證明,包含目標速度信息的多普勒量測具有有效提高目標狀態(tài)估計精度的潛力。該文在直角坐標系下提出一種可使用轉換多普勒量測(即距離量測與多普勒量測的乘積)的濾波器。從理論上講,它是在最佳線性無偏估計準則下的最優(yōu)線性無偏濾波器,并且避免了量測轉換方法的根本缺陷。通過將近似處理后的新型最優(yōu)線性濾波器與目前4種流行的方法進行仿真比較,驗證了所提出的濾波器的優(yōu)越性。
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出版歷程
  • 收稿日期:  2014-08-21
  • 修回日期:  2014-12-22
  • 刊出日期:  2015-06-19

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