A Device-Free Localization and Size Prediction System for Road Vehicle Surveillance via UWB Networks

Device-Free Localization Using Enhanced Channel Selection and a Distance-Based Elliptical Model

“…There are three main measuring techniques: (1) technologies on narrowband (NB) [8], [9], (2) ultrawideband (UWB) [10]- [12] and (3) received signal strength (RSS) [13]- [16]. In particular, NB-based DFL technology is used to detect the moving objects by measuring the sum of the contributions of all multipaths.…”

“…However, narrowband receivers cannot provide the individual multipath information, and localization via signal delay is very difficult [8], [9]. In [10], UWB-based DFL technology has the advantages of a high data rate, and high positioning accuracy by utilizing a nanosecond pulse to deliver information, and the high memory and computing resources for accurate localization performance are needed. Compared with NB and UWB technologies, RSS-based DFL can be used to locate a person with low cost and low power consumption.…”

“…The monitoring area was divided into voxels. The Narrowband Relative Ultra-Wideband [10], [11], [12] UWB Relative Localization from RSS [4], [5], [6], [7], [13], [14], [15], [16] RSS Absolute Fingerprint-Matching [3], [17], [18], [19], [20] RSS Absolute Radio Tomographic Imaging [1], [2], [15], [21], [22], [23], [24], [33] RSS Absolute Support Vector Machine [25], [26], [27] RSS Absolute Bayesian system [16], [28], [29] RSS Relative Compressed Sensing [30], [31], [32] RSS Relative weightings of voxels inside one elliptical weight mode were the same, which was not consistent with the actual situation. Consequently, several researchers studied the elliptical weight model for improvement in localization estimation accuracy in RTI.…”