Verification of Power Inversion Algorithm for Eliminating High-Power Single-Frequency Signals in GPS Signals

This paper investigates the verification of the power inversion algorithm for eliminating high-power single-frequency interference in GPS signals. GPS signals are composed of transmissions from multiple satellites. These signals are received and processed by ground stations to determine receiver positions. However, these signals may contain high-power single-frequency interference generated by sources such as television broadcasts, radio transmissions, radar systems, and other electronic devices. If not eliminated, such interference can significantly degrade GPS signal reception and processing. To address this issue, this paper proposes a verification methodology for the power inversion algorithm, which effectively suppresses high-power single-frequency interference in GPS signals. The algorithm implementation involves signal processing and computational steps typically coded using matrix operations and adaptive filtering techniques. Key functions include covariance matrix calculation of received signals, eigenvalue decomposition for interference identification, and weight vector computation for spatial filtering. Through experimental validation, the algorithm demonstrates significant improvement in GPS signal quality, consequently enhancing positioning accuracy of receivers. The implementation approach typically utilizes digital signal processing libraries with matrix computation capabilities, where the core algorithm can be implemented through eigenvalue analysis and adaptive weight updates.