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Computationally Efficient and Location Robust TDOA Positioning Estimator in MPR for IoT Device

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Mrneet/Efficient_LocationRobust_TDOALoc_MPR

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Efficient_LocationRobust_TDOALoc_MPR

A computationally efficient and location robust estimator for TDOA localization in MPR, which is designed for IoT device. The solution performs similar to the GTRS solution [1] but requires less computational load.

[1] Y. Sun, K. C. Ho, and Q. Wan, “Solution and analysis of TDOA localization of a near or distant source in closed form,” IEEE Trans. Signal Process., vol. 67, no. 2, pp. 320-335, Jan. 2019.

If you use any of the following codes in your research, please cite the paper as a reference in your publication. Thank you!

Computationally Efficient and Location Robust Estimator for IoT Device (4/12/2022)

Reference

Y. Sun et al., "Computationally Attractive and Location Robust Estimator for IoT Device Positioning," IEEE Internet of Things Journal, vol. 9, no. 13, pp. 10891-10907, Jul. 2022, doi: 10.1109/jiot.2021.3127690.

Code List:

  • SCO Closed-Form Solution: TDOA_SCO_MPR
  • SUM Closed-Form Solution: TDOA_SUM_MPR
  • GTRS Closed-Form Solution: TDOA_GTRS_MPR
  • CRLB: ConsCRLB
  • Example: Fig2to9
  • Example: Fig10
  • Example: Fig20to23
  • Example: Fig24to27

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