Improving GNSS accuracy is rarely about solving one single issue. In most cases, it requires a combination of high-quality hardware, proper software configuration, correction technologies, and good field deployment practices. Understanding how these factors interact is key to achieving more stable and precise positioning results.
Unlike signal blockage, which is immediately obvious when satellite visibility is poor, multipath errors are often far more difficult to identify because the receiver is still tracking signals that appear valid at first glance.
Building a reliable GNSS CORS network requires far more than selecting an advanced receiver or deploying sophisticated RTK correction software. Long-term positioning stability depends equally on antenna design, installation stability, signal quality management, and the ability to maintain uninterrupted correction consistency across the entire network.
In high-precision GNSS applications, reflected satellite signals from buildings, metal structures, ground surfaces, or nearby obstacles can introduce positioning errors that standard antenna designs struggle to eliminate.
With the rapid development of autonomous robots in agriculture, logistics, industrial inspection and engineering machinery, high-precision positioning has become a core capability.
Agricultural robots are revolutionizing fieldwork with RTK technology, enabling highly repeatable path control and upgrading traditional manual observation to centimeter grade precision positioning.
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