Our client came to us with an extremely short timeframe to make an informed selection of a GPS module for their high-end location-aware device. Their project was at a critical phase, and a lack of expertise and the full range of test equipment meant that they would potentially have to delay the product release. This could have proved disastrous for a start-up on such a steep trajectory.
The client had 2 modules from different vendors, and was keen to find the absolute positives and negatives for each. The key determinations would be position accuracy, speed, and distance covered in all 3 axes.
With a team of expert engineers and a full suite of test equipment to utilise, we were ideally placed to help our customer. We provided a GSS6450 record-and-playback system (RPS) to the customer, to which they attached the antenna from their device. They then recorded real-world scenarios of their choosing, replicating the environment their device would encounter in everyday use, and provided the information for us to analyse.
Using the recorded scenarios alongside our simulators and standardised test scenarios we were able to test each aspect of receiver performance, as well as the different settings available on each module. From different environments (e.g. open space and urban canyon), to different scenarios (powering up the device indoors and stepping outside, moving through a tunnel, passing sources of interference), we thoroughly tested each aspect of receiver module performance.
With a good understanding of the client’s use-case we could apply our expertise and provide a definitive answer – ahead of schedule, and for a fraction of the budget of doing it themselves. The deliverable included test report (100’s of test runs), with detailed analysis of results and recommendations. Through open and thorough communication, the customer was kept informed of progress and findings in real time.
Our customer was able to meet their deadline and get their product to market on schedule, and with the confidence that it would perform optimally under the full range of real-world conditions.