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非理想關聯(lián)下多傳感器系統(tǒng)誤差的穩(wěn)健估計

田威 黃高明

田威, 黃高明. 非理想關聯(lián)下多傳感器系統(tǒng)誤差的穩(wěn)健估計[J]. 電子與信息學報, 2018, 40(3): 641-647. doi: 10.11999/JEIT170579
引用本文: 田威, 黃高明. 非理想關聯(lián)下多傳感器系統(tǒng)誤差的穩(wěn)健估計[J]. 電子與信息學報, 2018, 40(3): 641-647. doi: 10.11999/JEIT170579
TIAN Wei, HUANG Gaoming. Robust Multisensor Bias Estimation Under Nonideal Association[J]. Journal of Electronics & Information Technology, 2018, 40(3): 641-647. doi: 10.11999/JEIT170579
Citation: TIAN Wei, HUANG Gaoming. Robust Multisensor Bias Estimation Under Nonideal Association[J]. Journal of Electronics & Information Technology, 2018, 40(3): 641-647. doi: 10.11999/JEIT170579

非理想關聯(lián)下多傳感器系統(tǒng)誤差的穩(wěn)健估計

doi: 10.11999/JEIT170579
基金項目: 

中國博士后科學基金第61批面上項目(2017M613370)

Robust Multisensor Bias Estimation Under Nonideal Association

Funds: 

The 61st Genernal Program Supportting Fund of China Postdoctoral Science Foundation (2017M613370)

  • 摘要: 在數(shù)據(jù)融合系統(tǒng)中,傳感器自身系統(tǒng)誤差造成其上報融合中心的目標位置狀態(tài)出現(xiàn)系統(tǒng)性偏差,若得不到有效估計與補償,融合系統(tǒng)難以實現(xiàn)預期的性能優(yōu)勢。然而,基于目標關聯(lián)配對關系而構造的超定方程組是系統(tǒng)誤差估計的出發(fā)點。復雜環(huán)境下,受隨機噪聲、系統(tǒng)誤差、虛警、漏報等因素的干擾,數(shù)據(jù)關聯(lián)模塊的輸出結果常常包含錯誤關聯(lián)。針對非理想關聯(lián)下多傳感器系統(tǒng)誤差的穩(wěn)健估計問題,該文提出基于最小截平方的系統(tǒng)誤差穩(wěn)健估計方法,并進一步提出剔除異常方程的重加權最小二乘方法。與最小二乘及最小中值平方相比,所提方法在保證估計器穩(wěn)健性能的前提下,降低了估計結果對隨機噪聲的敏感程度。仿真實驗驗證了所提方法的有效性。
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出版歷程
  • 收稿日期:  2017-06-14
  • 修回日期:  2017-11-17
  • 刊出日期:  2018-03-19

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