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The non-linear least squares (NLLS) algorithm is widely used in localization systems. Its performance approaches the Cramer-Rao lower bound under i.i.d. additive white Gaussian noise. However, when the initial position chosen is not close enough to the actual target position, the NLLS algorithm will very likely diverge. The non-iterative method of moments estimator does not have this divergence problem,...
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