Location estimation with data fusion for wireless location systems

Abstract

Wireless location in wireless communications networks has been studied extensively in recent years, Among the network-based approaches, time of arrival (TOA) md time difference of arrival (TDOA) are hvo time-based techniques used in location estimation. It is known that the accuracy of location estimation may suffer from poor geometric dilution of precision (GDOP) situation and non-line of sight (NLOS) propagation effect. To provide more accurate measures f o r time-based location techniques under the effects of GDOP in wireless communications networks, a data fusion with fuzzy rules ispresented. Based on the GDOP statisticalproperties of the raw location measures, the data fusion integrates data obtained from the TOA and TDOA techniques.Simulation results show that the proposed fuzzy logicbased data fusion effectively improves the overall accuracy of location estimation in wireless location systems.

Hybrid 5G Positioning Systems with Applications to Mobile Robot Technology

“…Vulnerabilities in 5G are related to intentional interruption of service, loss of subsurface accuracy, poor Geometric Dilution of Precision (GDOP) factors, and multipath reflections. The presence of noise in 5G signals forces the use of narrow bandwidth filters [1,2], which also limits vehicle dynamics [3]. Since wireless navigation systems are not autonomous, it is suitable to integrate this type of navigation system with different systems, which should gain greater autonomy.…”

A hybrid location identification method in wireless Ad Hoc/Sensor networks

“…The research work reported in this thesis combines the time difference of arrival (TDOA) location identification method [7] and Cell ID [8] location estimation method and takes into account the GDOP (Geometric Dilution of Precision) theory [49][50][51][52], to 18 provide a practical location identification method (called the Hybrid TDOA method) in wireless Ad Hoc/Sensor networks, with more accurate estimation than other TDOA methods. Specifically, the main contributions of this thesis include:…”

“…In time-based wireless location systems (TOA, TDOA, etc. ), the geometric formation of the locations of the reference nodes and the source node also affects the accuracy of mobile location estimation [49]. However, measuring GDOP is not a trivial task.…”

“…The GDOP provides a measure of the effect of geometric reference node formation on location estimation. For an unbiased estimator, the GDOP is defined as the ratio of the rms (root mean square) position error to the rms ranging error [49,50,51]. It can be calculated as follows [50,51]: 57…”