Jose M. Gomez-Pulido

Efficient Techniques and Algorithms for Improving Indoor Localization Precision on WLAN Networks Applications

This paper proposes efficient techniques that allow the deploying of high precision location applications for indoor scenarios over Wireless Local Area Networks (WLAN). Firstly, we compare the use of radio frequency (RF) power levels and relative time delays based on ray-tracing as detection methods to estimate the localization of a set of mobile station using the fingerprint technique. Detection method play an important role in applications of high frequencies techniques for locations systems based on current and emerging standards such as Wi-Fi (802.11x) and Wi-Max (802.16x). The localization algorithm computes the Eucli- dean distance between the samples of signals received from each unknown position and each fingerprint stored in the database or radio-map obtained using the FASPRI simulation tool. Experimental results show that more precision can be obtained in the localization process by means of relative delay instead of RF power detection method. Secondly, the Euclidean distance has been compared with others similarity distance measures. Finally, an interpolation algorithm between the fingerprinting weighing based on the distances has been implemented in order to eliminate those fingerprints that do not contribute to the improvement in the accuracy. These techniques allow obtaining more precision in the localization of indoor mobile devices over WLAN networks.

Identification of Aircraft in a non-Cooperative Surveillance System. The Case Sutudy of Aircraft Type Canadair Regional Jet

This paper presents the results obtained in the identification of the aircraft tail number by a non-cooperative surveillance system installed on the T4 apron of Adolfo-Suarez Madrid-Barajas Airport. The study focuses on the problems encountered by identifying the aircraft type Canadair Regional Jet through high resolution optical sensors whose response is affected by the shadow that, on sunny days, the engine produces over the tail number in this type of aircraft. The evaluation main objective is to quantify the probability of false identification produced by this phenomenon to determine the aircraft identification capacity of the Advanced Surface Movement Guidance and Control Systems deployed in the airport.

High-Accuracy Localization in Wireless Sensor Neworks Based on Ray-Tracing and Fingerprinting Techniques

This paper aims to apply a novel high-accuracy localization technique in wireless sensor networks to increase the security in airports when coverage and resolution of the surveillance systems deployed is degraded. We propose a new localization method based on fingerprinting techniques using the multipath ray-profile due to effects of the ray-tracing as cost function instead of power levels measurements over the received signal strength. The accuracy obtained with this technique is very high, while the main contribution to the localization accuracy is provided by the dominant rays of the ray-tracing.