Research on Environment Parameter Estimation Based on Regularization Method in RSSI Positioning

The wireless signal will have a lot of loss in the process of propagation, and there is a certain relationship between the degree of signal loss and the propagation distance. In the indoor positioning algorithm, the Received Signal Strength Indication(RSSI)-based ranging positioning algorithm uses this principle to locate the target. For the ranging algorithm based on RSSI, this paper first improves the model of the algorithm, and then proposes a regularized least squares approach to estimate the unknown parameters
$A$
and
$\gamma$
in the model. Finally, the effectiveness of the proposed algorithm is verified by simulation experiments.