Performance degradation and intermittent faults are important indicators of airborne radar health state. Traditional airborne radar health state assessment methods lack monitoring indicators at the overall system level and fail to comprehensively consider performance degradation and intermittent faults, and it is difficult for the traditional BIT circuit to monitor intermittent faults. Aiming at the above engineering problems, this paper puts forward a method based on the channel calibration circuit, combining the channel calibration simulation technology, the normal cloud model and HMM to build a health state assessment process. First, the channel errors and intermittent faults are analyzed to obtain four kinds of correction coefficients, thus establishing the simulation process of errors and intermittent fault injection. Then, based on the normal cloud model, the sample variance of the correction coefficients is used to represent the health state of the radar system, a unified health model is proposed, and the HMM topology and parameter design method are given. Finally, the data-driven evaluation process is established and its application studied. The simulation experiment verifies the feasibility of the errors and intermittent fault simulation process and the validity of the health state evaluation method, reaching an assessment accuracy of over 95%. The application case shows that the proposed method is feasible and can solve the problem of health state evaluation of airborne radars in engineering.
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