Secure training sequence confidence level figures of merit for ultra-wideband high-rate pulse optimization
AssigneeInfineon Technologies AG
InventorsAjinder Pal Singh, Daniel Lee
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Abstract
Systems, methods, and devices are provided for controlling processing of ultra-wideband (UWB) secure training sequence (STS) signals based on previously received UWB STS signals. In one example, a controller device is configured to receive data derived from at least one secure training sequence (STS) confidence level figure of merit (STS CLFOM data), wherein the STS CLFOM data is based on a correlation between a UWB signal received by a first UWB receiver device and a reference STS template; and control processing of subsequently received UWB signals based on the data.
Claims20
A method, comprising:
- with an ultra-wideband (UWB) receiver device,
- receiving a UWB signal during a ranging round;
- correlating the received UWB signal with a reference secure training sequence (STS) template to generate a correlation output;
- determining a distance between a transmitter of the received UWB signal based on the received UWB signal and the UWB receiver device based on the correlation output and one or more secure ranging parameters, wherein the one or more secure ranging parameters are received from a controller device;
- computing at least one STS confidence level figure of merit (STS CLFOM) for the ranging round based on a main peak to early peak (MPEP) differential of the correlation output, an early peak to noise floor differential of the correlation output, and a noise floor of the correlation output;
- and
- providing data indicative of the at least one STS CLFOM to the controller device, and
- with the controller device,
- receiving the data indicative of the at least one STS CLFOM from the UWB receiver device;
- optimizing the secure ranging parameters based on the at least one STS CLFOM;
- and
- transmitting data indicative of the optimized secure ranging parameters to the UWB receiver device for use by the UWB receiver device in processing UWB signals received in subsequent ranging rounds.
A controller device, comprising a processor and a memory, the processor configured to, when executing instructions stored in the memory, cause the controller device to,
- receive data derived from at least one secure training sequence (STS) confidence level figure of merit (STS CLFOM data), wherein the STS CLFOM data is based on a main peak to early peak (MPEP) differential of a correlation between a UWB signal received by a first ultra-wideband (UWB) receiver device and a reference STS template, an early peak to noise floor differential of the correlation, and a noise floor of the correlation;
- and
- control processing of subsequently received UWB signals based on the data.
An ultra-wideband (UWB) receiver device comprising a processor and a memory, the processor configured to, when executing instructions stored in the memory, cause the device to:
- receive a UWB signal during a ranging round;
- correlate the received UWB signal with a reference secure training sequence (STS) template to generate a correlation output;
- compute at least one STS confidence level figure of merit (STS CLFOM) for the ranging round based on a main peak to early peak (MPEP) differential of the correlation output, an early peak to noise floor differential of the correlation output, and a noise floor of the correlation output;
- and
- provide the at least one STS CLFOM to a controller device.
A method, comprising:
- receiving geo-tagged secure training sequence (STS) confidence level figure of merit (STS CLFOM) data, wherein the STS CLFOM data is based on a main peak to early peak (MPEP) differential of a correlation between a UWB signal received by a first ultra-wideband (UWB) receiver device and a reference STS template, an early peak to noise floor differential of the correlation, and a noise floor of the correlation, wherein the STS CLFOM data characterizes an aspect of one or more secure ranging rounds and indicates a location at which the one or more secure ranging rounds were performed;
- aggregating the received geo-tagged STS CLFOM data based on location to generate channel classification information;
- and
- in response to a request for channel classification information for a given location, providing channel classification information for the given location.
Dependencies are inferred from the claim text.