Libra



"for statistically valid calibrated radio surveys"

  
  • based on widely used GPR or Griffin receiver

  • make statistically valid measurements using true Lee Sampling Criteria

  • no wheel transducer required

  • fully automatic surveying

  • powerful analysis functionality

  • validate Service Level Agreements using built-in stats analysis

What is Libra?

Libra provides the systems planner with the ability to survey radio coverage simply and accurately. Libra is based on a GPR or Griffin calibrated receiver and fits any vehicle without modification or additional wheel transducer.

It is suitable for use by one operator or driver with any warnings being given audibly, leaving the driver to concentrate on driving. Libra will survey up to 5 frequencies simultaneously (100 for the Griffin) and still produce statistically valid coverage data.

What makes Libra software really unique is the combination of the powerful analysis functionality that allows the user to produce maps showing composite system coverage or most likely base using any combination of sites whilst in the field as well as the full implementation of the Lee Sampling Crieria making results statistically valid. Data collected using Libra can be exported directly to prediction tools for correlation.


How does Libra work?

The software judges the distance travelled 20 times per second using advanced techniques - this allows a measurement of sample gap distance derived from GPS accurate to better than 1m (even using standard GPS) and most importantly means that a wheel transducer is NOT required. The fast sampling rate of the receiver ensures repeatable results, even when surveying more that one frequency.

One of the fundamental principles of Libra operation is the use of site names rather than frequencies to identify sets of survey data. The real benefit of this comes during the analysis when complete sets of data for each site can be included or excluded from the analysis without having to worry about the actual survey frequency. Maps may show either coverage of a single site or composite coverage from any combination of sites allowing powerful "what if...?" analysis of the survey data. In addition signal values for individual sites may be adjusted to show, for example, what additional transmit power is needed to fill in coverage.

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