Automatic fine-grained radio map construction and adaption
AssigneeThe Regents of the University of California
InventorsHan Zou, Costas J. Spanos, Yuxun Zhou
Life of this patent
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Abstract
An automatic wireless fine-grained ratio map construction and adaptation system may include a Gaussian process regression (GPR) model constructed with real wireless received signal strength (RSS) measurements collected in a free space to provide coarse RSS estimation in a constrained space, and a generative adversarial network (GAN) to provide fine-grained RSS estimation in the constrained space by using an output of GPR as an input for a generator of GAN, modeling the irregular RSS distributions in complex indoor environments. The system may generate realistic RSS data in the constrained space that has not been manually site-surveyed.
Claims20
An automatic wireless fine-grained ratio map construction and adaptation system, comprising:
- a sensor configured to collect real wireless received signal strength (RSS) measurements in a free space;
- a processor configured to construct a Gaussian process regression (GPR) model based at least in part on the real wireless RSS measurements collected by the sensor in the free space to provide coarse RSS estimation in a constrained space;
- and
- a generator of a generative adversarial network (GAN) configured to provide fine-grained RSS estimation in the constrained space by using an output of the GPR as an input for the generator of the GAN.
A method, comprising:
- a sensor of an automatic wireless fine-grained ratio map construction and adaptation system collecting real wireless received signal strength (RSS) measurements in a free space;
- a processor of the automatic wireless fine-grained ratio map construction and adaptation system constructing a Gaussian process regression (GPR) model based at least in part on the real wireless RSS measurements collected by the sensor in the free space to provide coarse RSS estimation in a constrained space;
- and
- a generator of a generative adversarial network (GAN) of the automatic wireless fine-grained ratio map construction and adaptation system providing fine-grained RSS estimation in the constrained space by using an output of the GPR as an input for the generator of the GAN.
Dependencies are inferred from the claim text.