###### Abstract  
This research highlights the importance of error-correcting codes in ensuring secure and efficient data transmission over noisy channels. This paper aims to address the issue of limited information regarding the factors that contribute to the effectiveness of the implementation of Convolutional Codes in GPS systems. The research problem revolves around the insufficiency of scholarly sources elucidating the rationale behind the utilization of convolutional codes, specifically in GPS systems, rather than others. Through an in-depth analysis of these factors, this study strives to achieve a comprehensive understanding of the application of Convolutional Codes in GPS. To tackle this research problem, a novel methodology involving comparative analysis is employed. The coding techniques commonly used in satellite communication systems (such as BCH, LDPC, and turbo codes) are carefully examined and compared to the advantages and suitability of Convolutional codes and the Viterbi algorithm for GPS systems. Each coding technique is evaluated based on factors such as error detection and correction capabilities, bandwidth efficiency, computational complexity, and resilience to noise. The key findings of this study shed light on the unique advantages offered by Convolutional codes and the Viterbi algorithm for GPS systems. The analysis reveals that these coding techniques exhibit superior error detection and correction capabilities, efficient bandwidth utilization, and the ability to withstand noise in the GPS communication channel. The results also highlight the computational complexity associated with these techniques, providing valuable insights for the implementation of convolutional codes in GPS systems. Overall, this article contributes to the existing knowledge by providing a comprehensive understanding of the reasons behind the suitability of convolutional codes for GPS systems. The findings of this study serve as a resource for researchers, engineers, and practitioners in the field of satellite communication, aiding in the comprehensive understanding, advancement, and optimization of GPS system designs. Global positioning system GPS; error-correcting codes; convolutional codes; Viterbi algorithm Article  
13 September 20233 October 20233 October 20236 October 202  
However, the GPS signals are often susceptible to noise (Thermal Noise, Receiver Noise), interference (Electromagnetic Interference, Multipath Interference, Atmospheric Interference), attenuation, and errors during transmission, which can cause bit flip errors at the binary level of the transmitted information. The impact of bit flip errors can range from minor deviations to significant shifts or a complete loss of satellite lock, resulting in unreliable navigation information. In order to overcome these challenges, various coding techniques are used to improve the reliability and robustness of GPS signals. Among these coding techniques, Convolutional codes and the Viterbi algorithm have emerged as some of the most effective methods for error correction in GPS systems [1; 2]. These techniques use a systematic approach to encoding and decoding data, based on the generation and evaluation of polynomials, ensuring that errors are corrected with high precision and minimized signal distortion. The biggest challenge (causing bit flip error) exists in the channels used in Global Positioning System (GPS) and the Convolutional code and Viterbi algorithm can deal with representing in multipath fading [3]. When a signal is transmitted from a satellite, it can travel to the receiver in multiple paths, because of reflections off buildings, towers, and other objects. These paths can have different delays and attenuation levels, causing the signal to interfere with previous signals and distort itself at the receiver.