Reception and Processing of Signals in Prospective Models of User Navigation Equipment for GLONASS
Relevance is driven by the necessity to develop software-defined receivers capable of dynamically adapting to changes in navigation systems without hardware modifications, as traditional hardware-defined receivers based on fixed signal processing algorithms possess limited adaptability to evolving signal structures and new services. The research aim is to develop an algorithm for the joint processing of navigation signals with frequency and code division multiple access, ensuring the universality of a software receiver under diverse Global Navigation Satellite System signal conditions. The scientific objective is the experimental verification of digital signal processing algorithms that facilitate unified processing of multiple navigation signal types within a single software environment. Methods employed in the study include algorithmic modeling, correlation processing based on the Fast Fourier Transform, and experimental validation using a software receiver prototype. Results are as follows: possible approaches for joint processing of complex signals with frequency and code division in a GLONASS software receiver are presented; a concept for the development of user navigation equipment technology is outlined; experimental results for the reception and processing algorithm of code-division signals are provided; an algorithm for joint processing of frequency-division and code-division signals in a unified software receiver is proposed. The scientific novelty lies in the substantiation and experimental confirmation of the feasibility of unifying reception algorithms for signals with frequency and code division multiple access within a unified computational core. Theoretical significance lies in obtaining new knowledge about the principles of constructing universal processing algorithms for navigation signals. The practical significance is that the proposed algorithm enables the development of universal navigation receivers with software-defined adaptability to Global Navigation Satellite Systems updates, significantly reducing hardware modernization costs. Its implementation on high-performance processors will provide real-time processing capabilities in prospective receiver designs.