Source localization based on SVD without a priori knowledge

  title={Source localization based on SVD without a priori knowledge},
  author={Chee-Hyun Park and Kwang-Seok Hong},
  journal={2010 The 12th International Conference on Advanced Communication Technology (ICACT)},
A weighted least squares (WLS) estimation procedure based on singular value decomposition (SVD) is proposed for the source localization problem under an additive measurement error model. In practical situation, the respective sensor reliability may differ. The WLS solves the problem by assigning different weights to the sensors. However, the existing WLS-based methods require a priori information, such as variance of measurement noise or the initial point of optimization. This can be a problem… CONTINUE READING


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Publications referenced by this paper.
Showing 1-10 of 14 references

Improved Positioning Algorithms for Non-lineof-Sight Environments

  • Y. Kegen
  • IEEE Trans. Vehicular Technology, 57 (4), pp…
  • 2008
1 Excerpt

Least Squares Algorithms for TimeofArrivalBased Mobile Location "

  • A. C. Chang
  • IEEE Trans . Signal Process .
  • 2004

Chonggyu, "Target Location and Speed Estimation by Multistatic Radar System using Maximum Likelihood Approach

  • W. Y. Weylin
  • ICSP Proc,
  • 2000
1 Excerpt

Optimum Geometry Selection for Sensor Fusion

  • I. Kadar
  • SPIE Con! Signal Proc, pp . 96-107
  • 2000

Fundamentals ofStatistical Signal Processing: Estimation

  • S. M. Kay
  • 1993
1 Excerpt

Radar Data Processing

  • A. Farina, F. A. Studer
  • John- Wiley and Sons Inc
  • 1985
2 Excerpts

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