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In this study, an autonomous parameter extraction algorithm for frequency modulated continuous wave (FMCW) radar signals using Wigner-Hough transform is investigated. The algorithm can be applied to other low probability of intercept (LPI) radar waveforms as well. The proposed method uses the Pseudo-Wigner-Ville Distribution (PWVD) as a time-frequency (T-F) detection technique and Hough Transform (HT) to identify the parameters of the modulation. Using the images obtained by the PWVD, the algorithm derives the significant modulation parameters of FMCW waveforms by using the HT. Autonomously detecting and analyzing FMCW and other LPI modulations can eliminate the need for human intervention and enable near real-time detection and analysis of signal modulations. The extracted parameters can later be compared with existing emitter parameters in a database for identification.