Comparison of Three Estimation Methods for RSSI-Based Localization with Multiple Transmit Antennas

In localization with wireless sensor network [1], received signal strength indicator (RSSI)-based method uses a prerequisite statistical relationship on the RSSI and the distance between a target node and an anchor node in a location estimation area [2]. It is true that RSSI-based method performs poor even with a sophisticated estimation method such as maximum likelihood (ML) method, because in indoor environments, in addition to near/far effect, multipath fading as well as shadowing gives large variations to measured RSSIs.