Digital twin-based thermal analysis of a frequency synthesizer.

A frequency synthesizer is a key component of radars and plays an important role in radar radio frequency transceiver systems. In this study, a digital twin (DT) model of the virtual entity of a frequency synthesizer is proposed to perform thermal analysis. First, the virtual entity of the DT model is established according to the physical entity of the frequency synthesizer. Then, based on the designed DT model of the virtual entity of the frequency synthesizer, the temperature distribution of the model and cooling channel is analyzed, and the temperature distribution of the key components is obtained. Finally, using the results from the DT virtual entity model, a frequency synthesizer temperature prediction method based on a stochastic configuration network (SCN) algorithm is proposed. In the test phase, the characteristic and virtual temperature vectors are used as the input and output of the SCN training set, respectively. Then, 10 different sets of inputs are selected to obtain 10 sets of simulated temperatures and SCN predicted temperatures. The results indicate that the SCN algorithm based on the DT frequency synthesizer can accurately predict the temperature of the physical frequency synthesizer. The thermal analysis of the frequency synthesizer based on the DT provides accurate solutions and reduces the time required by physical components to adjust to high temperatures. [ABSTRACT FROM AUTHOR]