Access Restriction

Author Moses, Randolph L. ♦ Patterson, Robert
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Unknown Sensor Location ♦ Nominal Location ♦ Self-calibration Solution ♦ Unattended Sensor ♦ Direction-of-arrival Measurement ♦ High Uncertainty ♦ Calibration Procedure ♦ Synthetic Data ♦ Bayes Approach ♦ Calibration Problem ♦ Absolute Location Calibration ♦ Many Localization Problem ♦ Calibration Source Signal ♦ Anchor Node ♦ Orientation Angle ♦ Relative Sensor Location ♦ Prior Probability Density Function ♦ Prior Nominal Location Knowledge ♦ Sensor Network ♦ Compute Accuracy ♦ Location Information ♦ Triangulation Procedure ♦ Accuracy Bound ♦ Posteriori Estimation Algorithm ♦ Field Measurement
Description We consider the problem of locating and orienting a network of unattended sensors that has been deployed in a scene with unknown sensor locations and orientation angles, when no “anchor ” nodes are present. Many localization problems assume that some nodes have known locations and propagate location information about other nodes using triangulation procedures. In our formulation, we do not require such anchor nodes, but instead assume prior probability density function for the nominal locations of a subset of the nodes. These nominal locations typically have high uncertainty, on the order of tens of meters. The self-calibration solution is obtained in two steps. Relative sensor locations are estimated using noisy time-of-arrival and direction-of-arrival measurements of calibration source signals in the scene, and absolute location calibration is obtained by incorporating prior nominal location knowledge. We consider a Bayes approach to the calibration problem and compute accuracy bounds on the calibration procedure. A maximum a posteriori estimation algorithm is shown to achieve the accuracy bound. Experiments using both synthetic data and field measurements are presented.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01