A reduced-dimensional SDR optimizes transmit signals to lower the CRB for parametric extended-target geometry in near-field ISAC.
Optimal ISAC beamforming structure and effi- cient algorithms for sum rate and CRLB balancing
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FP-ANet uses fixed-point theory and dual-attention to achieve better channel estimation accuracy than prior methods in hybrid-field THz UM-MIMO while keeping similar computational cost.
citing papers explorer
-
Cram\'{e}r-Rao Bound Optimization for Near-Field ISAC with Extended Targets
A reduced-dimensional SDR optimizes transmit signals to lower the CRB for parametric extended-target geometry in near-field ISAC.
-
FP-ANeT: A Fixed-Point Attention Network for Hybrid-Field THz Ultra-massive MIMO Channel Estimation
FP-ANet uses fixed-point theory and dual-attention to achieve better channel estimation accuracy than prior methods in hybrid-field THz UM-MIMO while keeping similar computational cost.