TY  - EJOU
AU  - Li, Qi 
AU  - Selvaperumal, Sathish Kumar 

TI  - Artificial Neural Network Modeling and LO-CORDIC Multi-Fading Generation for UAV Channel Simulator
T2  - Computers, Materials \& Continua

PY  - 
VL  - 
IS  - 
SN  - 1546-2226

AB  - Unmanned Aerial Vehicle (UAV) air-to-ground (A2G) communication is a core enabling technology for emerging low-altitude wireless applications. At the same time, accurate real-time channel emulation remains a key bottleneck restricting its large-scale engineering deployment. Conventional universal channel simulators exhibit limited fidelity when modeling UAV-specific fading characteristics and degrade real-time performance on resource-constrained hardware platforms. In this study, we develop a dedicated UAV A2G channel simulator based on a heterogeneous FPGA platform (Processing System (PS) + Programmable Logic (PL)). To achieve high-precision path-loss prediction, we train a lightweight backpropagation neural network (BPNN) using field-measured data in agricultural scenarios and deploy the model on the PS for sub-millisecond real-time inference. Experimental results show that the proposed BPNN outperforms the 3GPP TR 38.901, CI, and ray-tracing models, achieving a path-loss prediction RMSE of 1.929 dB. For high-efficiency small-scale fading generation, a locally optimal COordinate Rotation DIgital Computer (LO-CORDIC) algorithm is implemented on the PL, which supports the computation of trigonometric, exponential and logarithmic functions for Rayleigh, Rice and other fading models. The LO-CORDIC reduces the average iterations from 16 to 4.5, achieving a 70.6% reduction in operation latency while maintaining numerical precision. Statistical validation shows that the PDF, mean, and variance of the generated fading signals are highly consistent with theoretical values, with the maximum relative error of 2.12%. This hardware-software co-design architecture effectively balances emulation fidelity, real-time performance and hardware resource consumption. It is suitable for verifying UAV communication algorithms and evaluating hardware-in-the-loop systems.
KW  - UAV communication; channel simulator; FPGA implementation; LO-CORDIC; BPNN

DO  - 10.32604/cmc.2026.085073