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A Kalman Framework Based Mobile Node Localization in Rough Environment Using Wireless Sensor Network
2015
International Journal of Distributed Sensor Networks
Since the wireless sensor network (WSN) has the performance of sensing, processing, and communicating, it has been widely used in various environments. The node localization is a key technology for WSN. The accuracy localization results can be achieved in ideal environment. However, the measurement may be contaminated by NLOS errors in rough environment. The NLOS errors could result in big localization error. To overcome this problem, we present a mobile node localization algorithm using TDOA
doi:10.1155/2015/841462
fatcat:ih2k26qfjfetpclfuzra3yph6q