This paper introduces a concept to correct post-correlation results from the influence of radio frequency interference (RFI). Most of the single aperture GNSS mitigation algorithms are pre-correlation techniques with the objective to clean the GNSS noise floor from the RFI before the signal stream will be fed to the GNSS receiver. This new approach passes the RFI together with the noise floor and the GNSS signals to the tracking engine. The signal stream will be analyzed and the influence on the correlator outputs (punctual, early, late, each in-phase and quadrature phase) will be estimated. The estimation allows a correction of the deformed auto-correlation result, before it will be further progressed by the discriminators of the tracking unit. The performance of this method will be evaluated by a basic GNSS software receiver under the stress of a personal privacy device (PPD) and an amateur radio signal of the 23-centimeter band (also Galileo E6) as interference source. Additionally, the results will be compared with the performance of the classical pre-correlation frequency domain adaptive filter (FDAF).