How to Scale GNSS Testing with Simulation

PNT Xe
+ PNT Xe

Scale GNSS Testing with Simulation

Global Navigation Satellite System (GNSS) technology is increasingly embedded in automotive systems, consumer electronics, industrial equipment, and connected devices. Manufacturers must verify that GNSS receivers operate correctly before products leave the production line. However, traditional GNSS testing methods introduce significant challenges. Testing with live satellite signals exposes devices to constantly changing satellite visibility, atmospheric conditions, and radio frequency (RF) interference. As a result, identical devices may produce different test results, making it difficult to distinguish genuine receiver defects from variations in the test environment.

Record-and-replay systems can improve consistency but may introduce limitations in signal fidelity, scenario duration, and flexibility. At the same time, manufacturers face pressure to increase production throughput while controlling test equipment costs. The central challenge is achieving accurate, repeatable, and cost-effective GNSS receiver testing without compromising production efficiency or confidence in pass/fail results.

High-Fidelity GNSS Simulation Solution

Keysight's PNT Xe GNSS Simulator provides a controlled alternative to live-signal testing by generating repeatable GNSS satellite signals in a laboratory or manufacturing environment. Rather than depending on unpredictable real-world satellite conditions, manufacturers can expose each device under test to defined, reproducible GNSS scenarios. This enables engineering and production teams to evaluate receiver functionality against consistent test conditions. PNT Xe is designed to bring high-quality RF simulation to fundamental verification and production testing without requiring the investment associated with more complex, Expert and Pro GNSS simulation platforms. By integrating controlled GNSS simulation into the production workflow, manufacturers can improve the consistency of receiver testing, reduce uncertainty in pass/fail decisions, and support more efficient testing across multiple devices and manufacturing locations.

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