TY  - JOUR
T1  - Performance Evaluation of Radio Fingerprinting Localization
AU  - Medjedoub, Smail
AU  - Saoud, Bilal
AU  - Benziane, Mourad
AU  - Rouabah, Khaled
PY  - 2024
DA  - December
Y2  - 2024
DO  - 10.55549/epstem.1598071
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 142
EP  - 153
VL  - 32
LA  - en
AB  - This paper introduces a radio fingerprinting localization method for positioning unknown radio transmitters (URTs) based on received signal strength difference (RSSD). The method incorporates Kalman filter (KF) preprocessing, principal component analysis (PCA), similarity measures, and weighted k-nearest neighbors (WKNN). First, the Kalman filter is applied to the received signal strength (RSS) measurements to reduce noise. Next, PCA is used for dimensionality reduction and decorrelation by extracting the principal components from the RSSD data. In the final stage, the similarity between offline and online principal component databases is measured using various metrics, while WKNN estimates the transmitter’s position by assigning weights to nearby reference points (RPs). Simulations are conducted to evaluate the impact of preprocessing, the number of PCA components, and the choice of similarity measures on localization performance. The results provide a comprehensive analysis of the trade-offs between these techniques, highlighting their effectiveness in different environments and conditions for fingerprinting-based WLAN localization.
KW  - Fingerprinting
KW  - Localization
KW  - RSSD
KW  - PCA
KW  - WKNN
CR  - Medjedoub, S., Saoud, B., Benziane, M., & Rouabah,K. (2024). Performance evaluation of radio fingerpriniting localization. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 32, 142-153.
UR  - https://doi.org/10.55549/epstem.1598071
L1  - https://dergipark.org.tr/en/download/article-file/4424790
ER  -