Acceleration Method for Software Signal Simulators of BDS Navigation Signals and RDSS Signals Based on GPGPU

Abstract

General purpose graphics processing unit (GPGPU) has a great advantage in parallel computation, which is appropriate in the development of signal simulators for global navigation satellite system (GNSS) signals. Real-time software signal simulators for BeiDou navigation satellite system (BDS) signals, including navigation signals and radio determination satellite service (RDSS) signals, are developed in this paper. The characteristics of the continuous signal simulation and the burst signal simulation are considered in the development of GPU algorithms. The GPU algorithm optimization considers memory usage, signal combination method, and GPU block design under the goal of the least time consumption. To get the best GPU block design, a generalized block design model is built in this paper. The optimized GPU block parameters are got for the BDS B1 signal simulation and the RDSS signal simulation, separately. For the BDS B1 simulation, when the parameters are not optimized, the time consumption is more than three times of the optimized result. For the RDSS signal simulation, this value is 4.5 times. The correctness of the signals is verified in many aspects, including the power spectral density (PSD) and the pseudo range precision.

Satellite Navigation Simulation Signal Generation Method Based on GPU Acceleration

“…However, for large numbers of signal channels, ordinary CPUs struggle to generate the simulated GNSS signals. Thus, GPU-accelerated computing is being used to satisfy the computing requirements of multichannel GNSS signal generation [21][22][23][24]. To the best of our knowledge, no clear structure or key design considerations of the GPU algorithm for computing GNSS digital IF signals have yet been published.…”