## 10 Conclusions
(2007) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] A Joint Estimation of Target Location and Channel Model Parameters in an IEEE 802.15.4-based Wireless Sensor Network. In Proceedings of the 2007 IEEE 18 th International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, Greece, 3-7 September 2007; pp. 1-5, ISSN 2166-9589. [CrossRef]
* [PERSON] and [PERSON] (2010) [PERSON]; [PERSON] On ML estimation for automatic RSS-based indoor localization. In Proceedings of the IEEE 5 th International Symposium on Wireless Pervasive Computing 2010, Modena, Italy, 5-7 May 2010; pp. 495-502. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] RSS-Based Byzantine Fault-Tolerant Localization Algorithm Under NLOS Environment. _IEEE Commun. Lett._**2021**, _25_, 474-478. [CrossRef]
* [PERSON] and [PERSON] (2021) [PERSON]; [PERSON] [PERSON] Expectation Maximization-Based Target Localization From Range Measurements in Multiplicative Noise Environments. _IEEE Commun. Lett._**2021**, _25_, 1524-1528. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] A comparison between Bayesian and maximum likelihood estimations in estimating finite mixture model for financial data. _Sains Malays._**2015**, _44_, 1033-1039. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Bayesian cooperative localization using received signal strength with unknown path loss exponent: Message passing approaches. _IEEE Trans. Signal Process._**2020**, _68_, 1120-1135. [CrossRef]
* [PERSON] (1988) [PERSON] _Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference_; [PERSON]: Burlington, MA, USA, 1988. * [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON] [PERSON] An IMU/UWB/Vision-based Extended Kalman Filter for Mini-UAV Localization in Indoor Environment using 802.15.a Wireless Sensor Network. _J. Intell. Robot. Syst._**2013**, _70_, 461-476. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON] Particle-Filter-Based Radio Localization for Mobile Robots in the Environments with Low-Density WLAN APs. _IEEE Trans. Ind. Electron._**2014**, _61_, 6860-6870. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] UWB-based indoor high precision localization system with robust unscented Kalman filter. In Proceedings of the 2016 IEEE International Conference on Communication Systems (ICCS), Shenzhen, China, 14-16 December 2016; pp. 1-6. [CrossRef]
* [PERSON] and [PERSON] (2000) [PERSON]; [PERSON] The unscented Kalman filter for nonlinear estimation. In Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00 EX373), Lake Louise, AL, Canada, 4 October 2000; pp. 153-158. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON] TDOA fingerprinting for localization in non-line-of-sight and multipath environments. In Proceedings of the 2015 International Symposium on Antennas and Propagation (ISAP), Hobart, TAS, Australia, 9-12 November 2015; pp. 1-4. * [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] UAV Localization with Multipath Fingerprints and Machine Learning in Urban NLOS Scenario. In Proceedings of the 2020 IEEE 6 th International Conference on Computer and Communications (ICCC), Chengdu, China, 11-14 December 2020; pp. 1494-1499. [CrossRef]
* [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON] Fingerprinting localization based on neural networks and ultra-wideband signals. In Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Bilbao, Spain, 14-17 December 2011; pp. 184-189. * [PERSON] et al. (2019) [PERSON]; [PERSON], [PERSON]; [PERSON]; [PERSON] LoRa ToA-based localization using fingerprint method. In Proceedings of the 2019 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Republic of Korea, 16-18 October 2019; pp. 349-353. * [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Applying Random Forest and Multipath Fingerprints to Enhance TDOA Localization Systems.