Research on Environment Parameter Estimation Based on Regularization Method in RSSI Positioning
Author:
Affiliation:
1. Shanxi University,the Department of Automation,Taiyuan,China,030006
2. the School of Mathematical Sciences, Shanxi University,Taiyuan,China,030006
Funder
Shanxi Scholarship Council of China
Natural Science Foundation of Shanxi Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9931185/9931186/09931252.pdf?arnumber=9931252
Reference13 articles.
1. RSS-Based Location Estimation with Unknown Pathloss Model
2. On the Joint Estimation of the RSS-Based Location and Path-loss Exponent
3. On the estimation of transfer functions, regularizations and Gaussian processes—Revisited
4. Implementation of algorithms for tuning parameters in regularized least squares problems in system identification
5. A survey of machine learning for indoor positioning;nessa;IEEE Access,2020
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