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Volume 41 Issue 3
Mar.  2019
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Zhiyu LU, Jianhui WANG, Tianzhu QIN, Bin BA. Direct Position Determination for Coherently Distributed Noncircular Source Based on Symmetric Shift Invariance[J]. Journal of Electronics & Information Technology, 2019, 41(3): 537-543. doi: 10.11999/JEIT180433
Citation: Zhiyu LU, Jianhui WANG, Tianzhu QIN, Bin BA. Direct Position Determination for Coherently Distributed Noncircular Source Based on Symmetric Shift Invariance[J]. Journal of Electronics & Information Technology, 2019, 41(3): 537-543. doi: 10.11999/JEIT180433

Direct Position Determination for Coherently Distributed Noncircular Source Based on Symmetric Shift Invariance

doi: 10.11999/JEIT180433
Funds:  The National Natural Science Foundation of China (61401513), The Self-Topic Foundation of PLA Information Engineering University (h2116)
  • Received Date: 2018-05-07
  • Rev Recd Date: 2018-11-08
  • Available Online: 2018-11-16
  • Publish Date: 2019-03-01
  • The existing Direct Position Determination (DPD) algorithm of Coherently Distributed (CD) sources rely on the distribution model of CD sources with huge computation cost, which is not practical. To improve further the localization performance, a novel DPD algorithm of CD sources that profits from the characteristics of noncircular signals is proposed based on the symmetric shift invariance of the centrosymmetric array. With the parameterization assumption of CD sources, the direct position determination model is firstly constructed by combining the characteristics of noncircular signals. Then, it is proved that for any centrosymmetric array, the generalized steering vector of CD sources has the property of symmetric shift invariance. Base on this characteristic, the positions of CD sources are directly estimated by fusing the information of all observation stations with no need to consider the distribution model, which reduces the dimension of the parameter to be estimated. Simulation results validate that, compared with the existing localization algorithms of CD sources, the proposed algorithm improves the localization accuracy, and avoids the dependence on the distribution model of CD sources, which is of great practical value.

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