Title :
A novel ultrawide band locationing system using swarm enabled learning approaches
Author :
Gao, Weihua ; Veeramachaneni, Kalyan ; Kamath, Ganapathi ; Osadciw, Lisa
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY
fDate :
March 30 2009-April 2 2009
Abstract :
In this paper, an adaptive learning algorithm is developed using particle swarm to identify and mitigate the non-line of sight (NLOS) signals in ranging measurements. Training data is generated using the IEEE 802.15.4a UWB channel model for different conditions. Multiple metrics derived from this data are fused to identify the NLOS signals. Specifically, kurtosis, mean excess delay and root mean square delay are used as metrics for fusion. The fusion strategy is derived using PSO, considering the correlation between multiple classifiers. We compare the fusion methodology achieved by PSO for the correlated data set to the likelihood ratio based fusion methodology assuming independence. Further, the paper presents an NLOS mitigation approach derived using PSO. A scalar called ldquoerror mitigation ratio (EMR)rdquo is defined. The EMR transform a NLOS measurement into an equivalent LOS measurement. The PSO identifies the EMR using the training data. Application of PSO generated EMR enhances the positioning accuracy and is demonstrated in this paper for indoor wireless channel. This mitigation approach enables us to arrive at a position for the unknown node even when one of the measurements is identified as NLOS. Finally, PSO is used for multilateration to combine measurements from three nodes. Comparisons are done with the linearized least square method.
Keywords :
particle swarm optimisation; personal area networks; radio direction-finding; ultra wideband communication; wireless channels; IEEE 802.15.4a UWB channel model; adaptive learning algorithm; enabled learning approaches; error mitigation ratio; fusion strategy; indoor wireless channel; kurtosis; likelihood ratio based fusion methodology; linearized least square method; mean excess delay; nonline of sight signals; particle swarm optimisation; root mean square delay; ultrawide band locationing system; Algorithm design and analysis; Band pass filters; Bandwidth; FCC; Frequency; Particle swarm optimization; Pulse generation; Pulse modulation; Signal design; Ultra wideband technology;
Conference_Titel :
Swarm Intelligence Symposium, 2009. SIS '09. IEEE
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2762-8
DOI :
10.1109/SIS.2009.4937855