Radio Wave Direction/Deviation Determination Systems TRIZ Cases

A detection system analyzes WiFi signal strength changes to determine unmanned aerial vehicle trajectories and generate alerts.

Estimates antenna polarization ellipticity using phase shift and amplitude ratio measurements to classify electromagnetic wave types.

Analyzes OFDM pilot signal characteristics to determine mobile device locations within wireless networks.

A client device estimates its orientation by identifying the polarization of a received positioning reference signal.

Autocorrelation phase variance comparison determines complex sample stream bandwidth, reducing computational complexity in OFDM receivers.

A wireless communication device uses a multi-antenna front-end to determine signal directionality through spatial diversity processing.

Circular convolutional network resolves closely spaced objects by applying non-linear activation to processed antenna inputs.

A segmented code-phase correlator architecture processes signal vectors in discrete regions to enable parallel acquisition.

Spatial cross-correlation across multiple antenna elements improves speed estimation accuracy in noisy, nonisotropic scattering environments.

A beam scanning antenna directs radio waves using phase shifters to maintain high directivity.

An extendible arm device measures signal strength to identify optimal mounting locations.

Regular spatial sampling with interpolation reduces device complexity while maintaining measurement precision for direction of arrival estimation.