A Reduced Complexity Cross-correlation Interference Mitigation Technique on a Real-time Software-defined Radio GPS L1 Receiver

TL;DR

This paper presents a computationally efficient MMSE interference mitigation technique implemented on a real-time GPS L1 SDR receiver, improving robustness against interference in GNSS applications.

Contribution

It introduces a novel, reduced-complexity MMSE interference mitigation algorithm optimized for real-time GPS SDR systems.

Findings

Improved BER performance under interference conditions

Real-time implementation on LabVIEW platform

Enhanced interference robustness demonstrated

Abstract

The U.S. global position system (GPS) is one of the existing global navigation satellite systems (GNSS) that provides position and time information for users in civil, commercial and military backgrounds. Because of its reliance on many applications nowadays, it's crucial for GNSS receivers to have robustness to intentional or unintentional interference. Because most commercial GPS receivers are not flexible, software-defined radio emerged as a promising solution for fast prototyping and research on interference mitigation algorithms. This paper provides a proposed minimum mean-squared error (MMSE) interference mitigation technique which is enhanced for computational feasibility and implemented on a real-time capable GPS L1 SDR receiver. The GPS SDR receiver SW has been optimized for real-time operation on National Instruments' LabVIEW (LV) platform in conjunction with C/C++ dynamic link libraries (DLL) for improved efficiency. Performance results of said algorithm with real signals and injected interference are discussed. The proposed SDR receiver gains in terms of BER curves for several interferers are demonstrated.