SiChao JI, zhaohua zhang, delong fu, guozhan meng. Automated Noise Figure Test System Based onSource Matching OptimizationJ. Modern Radar. DOI: 10.16592/j.cnki.1004-7859.2026070
    Citation: SiChao JI, zhaohua zhang, delong fu, guozhan meng. Automated Noise Figure Test System Based onSource Matching OptimizationJ. Modern Radar. DOI: 10.16592/j.cnki.1004-7859.2026070

    Automated Noise Figure Test System Based onSource Matching Optimization

    • Noise figure, recognized as a critical technical parameter of T/R modules, governs the equivalent noise figure of radar systems. Whereas the Y-factor method predominantly employed in laboratory measurements fails to fulfill automated testing requirements for T/R modules, the cold-source method has been established as the standard solution. Automated test systems exhibiting suboptimal accuracy and consistency necessitate systematic optimization. Analysis of cold-source operational principles and noise parameters identifies source matching as a determinant factor in testing accuracy, leading to development of an optimized scheme for automated noise figure test systems. Comparative batch testing validates an approximate two-fold enhancement in consistency achieved by the optimized system.
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