The Location Algorithm Based on Square-Root Cubature Kalman Filter

Abstract:

When wireless signal is used for indoor localization, there is no consistent relationship between signal strength received by the receiving nodes and distance from the receiving nodes to the receiving nodes, so there is a larger localization error for the Received Signal Strength Indication (RSSI) in the indoor environment. A new received signal strength indicator parameter estimation algorithm based on square-root cubature kalman filter is proposed in this paper, this algorithm utilizes Square-root Cubature Kalman filter (SCKF) to estimate the target’s position and the RSSI channel attenuation parameter simultaneously. The experimental results demonstrate that there is a better accuracy for the algorithm based on SCKF than the traditional method.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 1525-1529
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.1525
• Online since: June 2013
• Authors: Ying Liu, Jun Feng Su, Ming Qiang Zhu
• Keywords: Indoor Localization, Localization Error, Received Signal Strength Indication (RSSI), Square-Root Cubature Kalman Filter (SCKF)

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