Introduces Bussgang-Kalman filters and a neural variant that incorporate quantization distortion for accurate nonlinear state estimation under 1-bit observations.
On low-resolution ADCs in practical 5G millimeter-wave massive MIMO systems
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2verdicts
UNVERDICTED 2representative citing papers
1BitISAC system with 1-bit converters at ISAC transmitter and sensing receiver achieves balanced performance and energy efficiency via QoS/QoD constrained designs solved by majorization-minimization and integer linear programming.
citing papers explorer
-
Energy-Efficient State Estimation with 1-Bit Sensing: A Bussgang-Kalman Framework for Internet of Things
Introduces Bussgang-Kalman filters and a neural variant that incorporate quantization distortion for accurate nonlinear state estimation under 1-bit observations.
-
Massive MIMO-ISAC System With 1-Bit ADCs/DACs
1BitISAC system with 1-bit converters at ISAC transmitter and sensing receiver achieves balanced performance and energy efficiency via QoS/QoD constrained designs solved by majorization-minimization and integer linear programming.