The key difficulty in navigating rotating missiles using inertial navigation systems (INS) equipped with MEMS sensors lies in the accurate measurement of their rotational velocity. Errors in this measurement are the primary contributors to inaccuracies in inertial navigation, posing a major challenge to improving and controlling traditional designs of unguided rotating objects. To overcome this issue, a novel system has been developed to aid the navigation of fast-rotating missiles. This study focuses on the development of a series of algorithms that calculate navigation data for rotating missiles by analyzing changes in the intensity of selected electromagnetic wave spectra. The system operates by employing a measurement setup that utilizes various sensors to record different types of electromagnetic radiation (visible light, infrared, and ultraviolet light). Navigation data estimation in the rotational channel will be performed using algorithms that calculate the time intervals between the recorded maximum and minimum values of the aforementioned radiation types. Ultimately, the goal is to develop algorithms capable of calculating navigation data based on measurements recorded under different atmospheric conditions, such as fog, heavy cloud cover, strong sunlight, and varying lighting conditions between day and night. It is anticipated that the most optimal algorithm for specific system conditions will be selected based on illumination and time-of-day factors.