Introduction to Wireless Localization

A survey of calibration-free indoor positioning systems

“…While accuracy is represented by a numeric value, precision gives a measure how consistently the accuracy can be achieved. Cumulative distribution function (CDF) [48,49,42] is usually utilized to show the overall performance of a positioning system. For example, a median of 3 m in the CDF graph indicates that 50% of the occasions, the system's localization error (or accuracy) is within 3 m.…”

Real-time Indoor Patient Movement Pattern Telemonitoring with One-meter Precision

“…Among all techniques, the RSSI-based ones have gained popularity in recent years. Nevertheless, as indicated by [5], some major problems in this field remain unresolved, such as computationally intensive and inaccurate localization algorithms, excessive access point installations and unstable wireless signal transmission.…”

“…In healthcare, it has been widely acknowledged that inhome monitoring of the elderly or chronic disease outpatients' daily movement patterns is useful for detection of early signs of new or deteriorated health issues. However, to achieve satisfactory accuracy remains a challenge for indoor location tracking/localization [5]. (This paper uses location tracking and localization interchangeably.)…”

Statistical distribution of position error in weighted centroid localization

“…However, in many practical situations e.g., in econometrics or engineering just studying moments of estimators is not sufficient and in some instances such moments do not exist [18]. Thus, one can consider the distribution function as a performance criterion, in which an estimator with high probabilities of being close to the true parameter is the most favorable [18], [19]. The first theoretical framework for WCL analysis using a probabilistic approach was presented in [13], assuming that the two-dimensional localization errors are jointly Gaussian, thus requiring the calculation of the error covariance matrix.…”