Anchor selection for UWB indoor positioning

Abstract

On the positioning accuracy, the geometric distribution of anchor nodes in wireless sensor networks has notable impacts. To select the optimum node combination, conventional methods that depend on geometric dilution of precision demand to spend time on calculating every possible combination of nodes. In military urban and emergency response operations, the time is a crucial issue, and a precise positioning system with a clear indoor covering is a highly prerequisite tool to enhance the safety. It should be seamless, low, frugal, power efficacious, low cost, and supply less meter‐level accuracy. In this paper, the main goal is to reduce the anchors installation time and to obtain a precise localization system. To obtain this goal, a novel algorithm to build an accurate indoor positioning system is created using a mean square error (MSE) of an estimated position of a mobile station (MS) located by different groups of installed anchor nodes online using least square (LS) method then selecting the group having less MSE value (anchor selection method) to relocate the MS using a weighted LS method. The results were highly acceptable for indoor localization because the module attained an MSE localization accuracy in a hard non–line of sight environment below 0.5 m2 also the time of installing the anchor nodes will be reduced. This paper includes the description of the algorithm and the results of the conducted experiments.

Anchor selection by geometric dilution of precision for an indoor positioning system using ultra‐wide band technology

“…Also, the created system should be simple and not complicated with less time of performance. The contributions of this work can be explained as follows: (i) to avoid using any NLOS identification method; (ii) no requirement of predefined data such as distance bias as needed in the works of [2,20] compared to the created work, but using the variance of the estimated distance extracted online from the UWB device will help in the design of such systems which are much more reliable to be used in the commercial market; and (iii) modify the conventional LLS by creating and adding a vector of variance distance (T) to the vector of the estimated distance (b) as shown in Equation (15) to improve the localization accuracy. Two different scenarios are implemented using the UWB device (DW1000-EVK1000).…”

“…The mobile station moves through the indoor environment (Scenario 2) Experimental data base needed for systems[2,20] compared to the created system, where r; d; σ 2 expresses the true, measured, and variance of the distances, respectively, for LOS, soft NLOS, and hard NLOS channels and Av express rate of the bias of the estimated distance…”

Fuzzy Logic Control for NLOS Identification Method in an Indoor Environment Using UWB Technology

“…Hint: The UWB signal will face a difficulty of propagation when traveling beyond 20 m as we have shown in [14,23] in a hard NLOS channel and therefore, we test our method for 7 points with 2 m apart between each point up to 20 m.…”

“…Where, , , denote the enhanced distance after the NLOS identification method, distance extracted from the DW1000-EVK 1000, and the average of the Bias distance computed as explained in the experimental activities section respectively. The average value of the distance bias used because, in every propagation channel, the variance of the estimated distance is close to zero mean as we have shown in our work, anchor selection for UWB indoor positioning [23] and therefore, the average value will be more suitable than the median value. We should mention that the device implemented in this experiment has a positive Bias in the LOS channel [24] and therefore the Bias is also positive in the NLOS channel.…”

Sounding and modeling of the indoor aerial acoustic transmission channel

“…In this regard, applications set out from optical infrared using the IrDA (Infrared data Association) protocol 10,11 which was quickly replaced by radio systems such as Bluetooth 12,13 which was later complemented by NFC (Near Field Communication). 14,15 Recently, UWB communication 16,17 which has suffered from a checkered history has become attractive, again. In all these fields, a vast amount of literature has been available which for obvious reason of limited space cannot be discussed in detail.…”