An Indoor Location Algorithm Based on Grid Characteristic Match by TDOA-RSSI

Abstract:

Article Preview

According to indoor wireless environment and signal propagation model, an indoor location algorithm based on grid characteristics match by TDOA-RSSI combining is put forward in this paper, in which the RSSI and TDOA parameters are combined as grid characteristic parameters to calculate the weighted Euclidean distance. The location algorithm adopts KWNN algorithms for grid matching and location estimate. Simulation results show that this algorithm has better robustness and accuracy, and can effectively solve the problem of location estimates stability in general RSSI fingerprint location system.

Info:

Periodical:

Edited by:

Dehuai Zeng

Pages:

444-449

DOI:

10.4028/www.scientific.net/AMR.159.444

Citation:

W. G. Guan et al., "An Indoor Location Algorithm Based on Grid Characteristic Match by TDOA-RSSI", Advanced Materials Research, Vol. 159, pp. 444-449, 2011

Online since:

December 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.