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Localization scheme based on multistatic radar systems

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Abstract

A weighted least square (WLS) scheme to estimate the target location in the TRM multistatic radar system based on the modified TOA measurements is proposed. The performance of the location estimation scheme is evaluated according to the basis of the root mean square error (RMSE). In the proposed scheme, all the measured errors including the measured azimuth angle, the measured elevation angle, and the measured range from the sum of the distance for transmitter-to-target and the distance for target-to-receiver are considered. The performance of the proposed scheme is given under the cases of the bistatic radar system and the TR4 multistatic radar system, respectively. According to the simulation results, the performance could be improved with the increasing of the number of receivers in the system.

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Acknowledgments

This work was supported by National Science Council Grant (NSC 101-2221-E-029 -020 -MY3)

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Authors and Affiliations

  1. Department of Electrical Engineering, Tunghai University, Taichung, 40704, Taiwan, ROC

    Jyh-Horng Wen

  2. Department of Communications Engineering, National Chung Cheng University, Chiayi, 62102, Taiwan, ROC

    Jheng-Sian Li & Chun-Hung Chen

  3. Chunghwa Telecom Laboratories, Taoyuan, Taiwan

    Jheng-Sian Li

  4. Department of Computer Science, University of Taipei, Taipei, 10048, Taiwan, ROC

    Cheng-Ying Yang & Chuan-Hsien Mao

  5. Department of Computer Science and Information Engineering, Asia University, Taichung, 41354, Taiwan, ROC

    Hsing-Chung Chen

  6. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404, Taiwan, ROC

    Hsing-Chung Chen

Authors
  1. Jyh-Horng Wen
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  2. Jheng-Sian Li
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  3. Cheng-Ying Yang
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  4. Chun-Hung Chen
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  5. Hsing-Chung Chen
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  6. Chuan-Hsien Mao
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Corresponding authors

Correspondence to Cheng-Ying Yang or Hsing-Chung Chen.

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Wen, JH., Li, JS., Yang, CY. et al. Localization scheme based on multistatic radar systems. J Ambient Intell Human Comput 7, 163–169 (2016). https://doi.org/10.1007/s12652-016-0347-6

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  • DOI: https://doi.org/10.1007/s12652-016-0347-6

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