منابع مشابه
Cramér-Rao-Type Bounds for Localization
1 The localization problem is fundamentally important for sensor networks. This paper studies the Cramér-Rao lower bound (CRB) for two kinds of localization based on noisy range measurements. The first is Anchored Localization in which the estimated positions of at least 3 nodes are known in global coordinates. We show some basic invariances of the CRB in this case and derive lower and upper bo...
متن کاملNetwork Localization Cramér-Rao Bounds for General Measurement Models
A closed-form Cramér-Rao bound (CRB) for general multi-modal measurements is derived for D-dimensional network localization (D ∈ {2,3}). Links are asymmetric and the measurements among neighboring nodes are non-reciprocal depending on an arbitrary differentiable function of their position difference, subject to additive Gaussian noise (with variance that may depend on distance). The provided bo...
متن کاملCramér-Rao bounds for the localization of anisotropic sources
In the most general case, source localization has to take into account the radiation pattern of the sources of interest. This is particularly important when the sensors surround the sources, and the sources are anisotropic, as is the case in several applications (EEG, speech, musical instruments, etc.). Cramér-Rao bounds for the joint estimation of the position of a source and its radiation pat...
متن کاملCramér-Rao Lower Bounds for hybrid localization of mobile terminals
While the problem of locating a mobile station (MS) in outdoor scenarios is solved through the introduction of the Global Positioning System (GPS), in dense urban and indoor scenarios problems appear resulting from the attenuation or complete shadowing of the satellite signals, so that GPS often can not provide MS location estimates [1]. However, the existing cellular radio network (CRN)-based ...
متن کاملCramér-Rao bounds for radar altimeter waveforms
The pseudo maximum likelihood estimator allows one to estimate the unknown parameters of Brown’s model for altimeter waveforms. However, the optimality of this estimator, for instance in terms of minimizing the mean square errors of the unknown parameters is not guarantied. Thus it is not clear whether there is some space for developing new estimators for the unknown parameters of altimetric si...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2006
ISSN: 1687-6180
DOI: 10.1155/asp/2006/94287