Source localization based on SVD without a priori knowledge

@article{Park2010SourceLB,
  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)},
  year={2010},
  volume={1},
  pages={3-7}
}
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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