Improving reliability of particle filter-based localization in wireless sensor networks via hybrid particle/FIR filtering JM Pak, CK Ahn, YS Shmaliy, MT Lim IEEE Transactions on Industrial Informatics 11 (5), 1089-1098, 2015 | 250 | 2015 |
An iterative Kalman-like algorithm ignoring noise and initial conditions YS Shmaliy IEEE Transactions on Signal Processing 59 (6), 2465-2473, 2011 | 223 | 2011 |
Unbiased finite impluse response filtering: an iterative alternative to Kalman filtering ignoring noise and initial conditions YS Shmaliy, S Zhao, CK Ahn IEEE Control Systems Magazine 37 (5), 70-89, 2017 | 221 | 2017 |
Linear optimal FIR estimation of discrete time-invariant state-space models YS Shmaliy IEEE Transactions on Signal Processing 58 (6), 3086-3096, 2010 | 204 | 2010 |
Distributed hybrid particle/FIR filtering for mitigating NLOS effects in TOA based localization using wireless sensor networks JM Pak, CK Ahn, P Shi, YS Shmaliy, MT Lim IEEE Transactions on Industrial Electronics 64 (6), 5182-5191, 2017 | 170 | 2017 |
An unbiased FIR filter for TIE model of a local clock in applications to GPS-based timekeeping YS Shmaliy IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 53 …, 2006 | 170 | 2006 |
Fast Kalman-like optimal unbiased FIR filtering with applications S Zhao, Y Shmaliy, F Liu Signal Processing, IEEE Transactions on 64 (9), 2284-2297, 2016 | 144 | 2016 |
Optimal memory for discrete-time FIR filters in state-space F Ramirez-Echeverria, A Sarr, YS Shmaliy Signal Processing, IEEE Transactions on 62 (3), 557-561, 2014 | 136 | 2014 |
UWB-based indoor human localization with time-delayed data using EFIR filtering Y Xu, YS Shmaliy, Y Li, X Chen IEEE Access 5, 16676-16683, 2017 | 111 | 2017 |
Unbiased FIR filtering of discrete-time polynomial state-space models YS Shmaliy IEEE Transactions on Signal Processing 57 (4), 1241-1249, 2008 | 100 | 2008 |
Switching extensible FIR filter bank for adaptive horizon state estimation with application JM Pak, CK Ahn, YS Shmaliy, P Shi, MT Lim Control Systems Technology, IEEE Transactions on 24 (3), 1052-1058, 2016 | 94 | 2016 |
Fusion Kalman/UFIR filter for state estimation with uncertain parameters and noise statistics S Zhao, Y Shmaliy, P Shi, CK Ahn IEEE Transactions on Industrial Electronics 64 (4), 3075-3083, 2017 | 92 | 2017 |
Suboptimal FIR filtering of nonlinear models in additive white Gaussian noise YS Shmaliy Signal Processing, IEEE Transactions on 60 (10), 5519 - 5527, 2012 | 92 | 2012 |
FIR smoothing of discrete-time polynomial signals in state space. YS Shmaliy, LJ Morales-Mendoza IEEE Transactions on Signal Processing 58 (5), 2544-2555, 2010 | 91 | 2010 |
Accurate self-localization in RFID tag information grids using FIR filtering J Pomarico-Franquiz, Y Shmaliy Industrial Informatics, IEEE Transactions on 10 (2), 1317 - 1326, 2014 | 88 | 2014 |
Minimum variance unbiased FIR filter for discrete time-variant systems S Zhao, YS Shmaliy, B Huang, F Liu Automatica 53, 355-361, 2015 | 87 | 2015 |
Comparing Robustness of the Kalman, H∞, and UFIR Filters YS Shmaliy, F Lehmann, S Zhao, CK Ahn IEEE Transactions on Signal Processing 66 (13), 3447-3458, 2018 | 86 | 2018 |
Iterative unbiased FIR state estimation: a review of algorithms YS Shmaliy, D Simon EURASIP Journal on Advances in Signal Processing 2013, 1-16, 2013 | 81 | 2013 |
Optimal synchronization of local clocks by GPS 1PPS signals using predictive FIR filters L Arceo-Miquel, YS Shmaliy, O Ibarra-Manzano IEEE Transactions on Instrumentation and Measurement 58 (6), 1833-1840, 2009 | 78 | 2009 |
Unified forms for Kalman and finite Impulse response filtering and smoothing D Simon, YS Shmaliy Automatica 49 (6), 1892-1899, 2013 | 77 | 2013 |