Volume 9 Issue 4
Aug.  2020
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SONG Jiaqi and TAO Haihong. A fast parameter estimation algorithm for near-field non-circular signals[J]. Journal of Radars, 2020, 9(4): 632–639. doi: 10.12000/JR20053
Citation: SONG Jiaqi and TAO Haihong. A fast parameter estimation algorithm for near-field non-circular signals[J]. Journal of Radars, 2020, 9(4): 632–639. doi: 10.12000/JR20053

A Fast Parameter Estimation Algorithm for Near-field Non-circular Signals

DOI: 10.12000/JR20053
Funds:  The National Natural Science Foundation of China (61971355), The National Ministries Foundation
More Information
  • Corresponding author: TAO Haihong, hhtao@xidian.edu.cn
  • Received Date: 2020-05-02
  • Rev Recd Date: 2020-07-17
  • Available Online: 2020-08-10
  • Publish Date: 2020-08-28
  • In this paper, a fast parameter estimation algorithm for near-field non-circular signals is proposed, which is based on symmetric, uniform, and linear array, that decouple the near-field steering vector via non-circularity and symmetry. Then, the position parameters are estimated based upon polynomial rooting technique instead of traditional spectral search. After fixing the array structure, the parameters for estimation equation are ascertained. Then the values of position parameters are obtained by solving the polynomial equations; consequently, computational difficulty is alleviated effectively. In addition, the Degree-Of-Freedom (DOF) is increased by utilizing the non-circularity characteristics of the impinging sources. It can be seen from the performance analysis and computer simulation experiments that the proposed algorithm can resolve more near-field non-circular signals and can improve parameter estimation performance, which is closer to the Cramer–Rao Bound (CRB) estimation.

     

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