Highly Precise Time Compensation Algorithm for Synchronous Communication System Based on Least Squares

Time synchronization is an important technology in synchronous communication systems to ensure the accuracy of data transmission. Precise time synchronization allows the receiver to correctly interpret the signal at the correct moment. However, as communication rates increase and application scenarios diversify, pulse signal reception quality is often affected by factors such as noise interference and clock stability. In order to address these challenges, we propose a pulse signal recovery method utilizing the least squares algorithm to complete time compensation. By fitting and optimizing the received signal, we can obtain estimated values that closely approximate the actual time, thereby achieving enhanced precision in time synchronization. The results demonstrate that this method effectively reduces estimation errors, improving the system’s time synchronization accuracy to the ns level. This method not only provides an effective solution for enhancing time synchronization precision but also lays the foundation for time synchronization performance in the future.