Multi-Signal Modeling and Parallel Diagnosis Method of Low Noise Amplifier

A low noise amplifier (LNA) is one of the key circuits of RF integrated circuits and RF systems, and it is prone to failure due to external interference, so it is necessary to carry out fault diagnosis. At present, LNA's reliable operation is mainly guaranteed through the testing of multiple performance parameters. The testing cost is high and the testing time is long. Moreover, the coupling relationship between each component and each test parameter is not considered, so it is difficult to isolate the faults. The multi-signal model uses a directed graph to describe the propagation dependence of faults, which is a very effective method in electronic system-level fault diagnosis. In this paper, a multi-signal model is proposed to describe the propagation dependence between the LNA fault modes and each test parameter, then a multi-core parallel diagnosis algorithm based on the multi-signal model and OpenMP is proposed for the rapid diagnosis of RF circuits. ADS is used to simulate the LNA circuit based on ATF54143. For the proposed multi-core parallel diagnosis method, the fault coverage rate can reach 100% and the fault isolation rate can reach 81.8% for a single fault, and the diagnosis efficiency can reach 2.033 under 4 threads.