GPU-based real-time estimation of phase and delay of PCAL signal

In order to meet the requirement of high-efficiency phase delay estimation of PCAL signal in the digital baseband converter (DBBC) equipment link for deep space measurement and control, we propose a GPU-based PCAL signal phase delay estimation method with parallel computing technology, combining the method with FFT and FFT to solve the problem of low computational efficiency in the traditional PCAL signal phase delay estimation method based on the fast Fourier transform (FFT), and then propose a graphics processing unit(GPU)-based PCAL signal phase delay estimation method with parallel computing technology. Firstly, to address the problem of low computational efficiency in the traditional fast Fourier transform (FFT)-based phase delay estimation of PCAL signals, a GPU-based phase delay estimation method for PCAL signals is proposed by combining this method with parallel computing technology. Experimental validation of the method is carried out, and a large number of experimental results show that the GPU-based PCAL signal phase delay estimation method improves the acceleration ratio by at least one order of magnitude, and realizes the real-time estimation of the phase delay of PCAL signals with bandwidths of 32 MHz or less, signal intervals of 1 MHz, and quantization bit number of 8 bit. In addition, the designed real-time system is also applicable to the link calibration of other inverter devices.