• DocumentCode
    722844
  • Title

    CRLB-weighted intersection method for target localization using AOA measurements

  • Author

    Zhansheng Duan ; Qi Zhou

  • Author_Institution
    Center for Inf. Eng. Sci. Res., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2015
  • fDate
    12-14 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Two dimensional target localization using AOA measurements is considered in this paper. By conducting repeated experiments, the complex AOA (CAOA) method found that for the two-sensor and single-target scenario, the accuracy of the intersection of two bearing lines can be divided into different layers. However, the experiments are very time consuming. Also, the division of the intersection region of interest into different layers is very subjective. In this paper, by the fusion of AOA measurements from multiple sensors, we propose a CRLB-weighted intersection method (CWIAOA) for target localization problem using AOA measurements. It was found that the new weights built on CRLB are consistent with the results of CAOA method. Numerical examples also demonstrate that the proposed method is not worse than the existing pseudo linear squares (PLS) and sensitivity analysis (SA) methods in all scenarios considered.
  • Keywords
    angular measurement; sensitivity analysis; sensor fusion; sensors; CAOA method; CRLB-weighted intersection method; CWIAOA; PLS method; SA; complex AOA measurement; multiple sensor; pseudo linear square method; sensitivity analysis; two dimensional target localization problem; Accuracy; Estimation; Noise; Noise measurement; Position measurement; Sensors; Standards; CRLB; Target localization; angle of arrival; data fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2015 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CIVEMSA.2015.7158616
  • Filename
    7158616