Joint localization algorithm combining information from accelerometer and available reference nodes

In conventional wireless localization techniques, the performance is generally constrained by the number of reference nodes available in the communication range. Recently, alternative localization schemes have been proposed to utilize the internal sensors embedded in wireless devices to acquire additional useful location dependent parameters. The accelerometer based localization has attracted much attention because of the widely usage of accelerometer sensors in today's smart phones. However, the accumulated error from the sensors can decrease the localization accuracy significantly as time goes by. In this paper, we propose a novel algorithm which combines the signal measurements from available reference nodes and the data output from accelerometer sensor to overcome the error accumulation. The simulation results shows that our proposed algorithm can achieve outstanding localization performance with only few reference nodes.