Demonstration of Non-coherent Deep INS/GPS Integration for Optimised Signal-to-noise Performance

Paul D. Groves, Christopher J. Mather and Alex A. Macaulay

Abstract: QinetiQ has developed a non-coherent deep INS/GPS integration algorithm optimising code-tracking performance in poor signal-to-noise environments resulting from signal attenuation or interference/jamming. This has been validated by simulation and implemented in hardware. The differences between tightly-coupled, coherent-deep and non-coherent-deep INS/GNSS integration are described and their advantages compared. Non-coherent deep integration is shown to be the optimum integration architecture for weak signal and high interference environments where carrier-phase precision is not required. QinetiQ’s algorithms are then described. Software simulations have been conducted predicting that the maximum J/S at which code tracking may be sustained is comparable with reports elsewhere in the open literature. Tracking may be bridged through much higher J/S levels for a few tens of seconds, a phenomenon which must be taken account of when interpreting the results of performance predictions. It is also shown that deep integration performance may be affected by the C/N0 measurement method and that C/N0 measurement noise can be a key limiting factor on the extent to which deep integration can mitigate poor signalto- noise environments. Lastly, the hardware implementation and testing environment is described and the issues involved in improving performance through extended coherent integration are discussed.
Published in: Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007)
September 25 - 28, 2007
Fort Worth Convention Center
Fort Worth, TX
Pages: 2627 - 2638
Cite this article: Groves, Paul D., Mather, Christopher J., Macaulay, Alex A., "Demonstration of Non-coherent Deep INS/GPS Integration for Optimised Signal-to-noise Performance," Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), Fort Worth, TX, September 2007, pp. 2627-2638.
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