Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (4): 746-750.doi: 10.3969/j.issn.1001-506X.2018.04.05

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Time-of-arrival positioning estimation algorithm based on sparse reconstruction

HU Jinfeng, XIE Hao, LI Chaohai, LI Huiyong, XIE Julan   

  1. School of Electronic Engineering, University of Electronic Science and Technology of China,Chengdu 611731, China
  • Online:2018-03-25 Published:2018-04-02

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Abstract:

Based on the feature that the targets are sparse in space, a positioning algorithm based on sparse reconstruction is proposed. Most of the existing time-of-arrival (TOA) algorithms use only one sample to estimate targets and they are sensitive to noise. The multisample joint estimation algorithm is further proposed to improve the noise robustness and the positioning accuracy of the algorithm. Compared with the existing algorithms, the proposed algorithm has a higher positioning accuracy and stronger noise robustness. Simulation results demonstrate the effectiveness of the proposed algorithm.

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