A LIDAR system is adapted for performing anemometrical measurements relating to a focusing zone of a laser beam which is emitted by the system. The system includes a temporal control device for the laser beam, which is adapted for putting this laser beam in successive laser pulse form, so that each laser pulse has an individual length which is greater than or equal to twice the Rayleigh length divided by the propagation speed of the laser pulses in the atmosphere, and less than 20 μs. Advantageously, the individual length of each laser pulse is between 0.2 and 5 times the coherence time of the atmosphere which is effective in the focusing zone. Such a LIDAR system provides values for a spectral CNR ratio which are better than those of systems from the state-of-the-art, at equivalent spatial resolution.

A LIDAR system is adapted for performing anemometrical measurements relating to a focusing zone of a laser beam which is emitted by the system. The system includes a temporal control device for the laser beam, which is adapted for putting this laser beam in successive laser pulse form, so that each laser pulse has an individual length which is greater than or equal to twice the Rayleigh length divided by the propagation speed of the laser pulses in the atmosphere, and less than 20 μs. Advantageously, the individual length of each laser pulse is between 0.2 and 5 times the coherence time of the atmosphere which is effective in the focusing zone. Such a LIDAR system provides values for a spectral CNR ratio which are better than those of systems from the state-of-the-art, at equivalent spatial resolution.

A data processing device of the present invention includes: a data communication device configured to communicate with a laser radar device to acquire a value of line-of-sight wind-speed, a laser emission angle, attitude information, position information, and a time; a storage device configured to store the value of line-of-sight wind-speed and the time; a central processing unit configured to run a data selector to select a value of line-of-sight wind-speed stored in the storage device and being present within a set time period from a time about the value of line-of-sight wind-speed which is newly acquired by the data communication device, and configured to run a wind vector calculator to calculate a wind vector using the newly acquired value of line-of-sight wind-speed and using the selected value of line-of-sight wind-speed; and a memory configured to preserve the data selector and the wind vector calculator.

A data processing device of the present invention includes: a data communication device configured to communicate with a laser radar device to acquire a value of line-of-sight wind-speed, a laser emission angle, attitude information, position information, and a time; a storage device configured to store the value of line-of-sight wind-speed and the time; a central processing unit configured to run a data selector to select a value of line-of-sight wind-speed stored in the storage device and being present within a set time period from a time about the value of line-of-sight wind-speed which is newly acquired by the data communication device, and configured to run a wind vector calculator to calculate a wind vector using the newly acquired value of line-of-sight wind-speed and using the selected value of line-of-sight wind-speed; and a memory configured to preserve the data selector and the wind vector calculator.

The present invention provides for a cognitive system using an autonomous vehicle includes a plurality of sensors configured to obtain the weather forecast for a pollution detectable area; a cognitive input to determine the pollution detectable area having highest sensitivity of pollution; a light detecting and ranging system configured to spatially probe pollution levels distributed in the pollution detectable area; an evaluation system to evaluate the probed pollution levels in the pollution detectable area; and a recommendation system for recommending an action to be taken based on evaluation system results of the probed pollution levels in the pollution detectable area, wherein the pollution levels are detected based light emitted by the light detecting and ranging system.

The present invention provides for a cognitive system using an autonomous vehicle includes a plurality of sensors configured to obtain the weather forecast for a pollution detectable area; a cognitive input to determine the pollution detectable area having highest sensitivity of pollution; a light detecting and ranging system configured to spatially probe pollution levels distributed in the pollution detectable area; an evaluation system to evaluate the probed pollution levels in the pollution detectable area; and a recommendation system for recommending an action to be taken based on evaluation system results of the probed pollution levels in the pollution detectable area, wherein the pollution levels are detected based light emitted by the light detecting and ranging system.

A wind speed specification system according to the present disclosure includes an optical fiber (10) laid around a power transmission line (40), a reception unit (20) that receives an optical signal including information indicating a sound generated when an airflow hits the optical fiber (10), from the optical fiber (10), and a specification unit (32) that specifies a wind speed around the optical fiber (10), based on information indicating a sound that is included in the optical signal.

A method of operating an optical icing conditions sensor includes transmitting a first light beam with a first transmitter and a second light beam with a second transmitter, thereby illuminating two illumination volumes. A first receiver receives the first light beam. A second receiver receives the second light beam. A controller measures the intensity of light received by the first and second receivers. The controller compares the intensities to threshold values and determines if either intensity is greater than the threshold values. The controller determines a cloud is present if either intensity is greater than the threshold values. The controller calculates a ratio of the intensities if a cloud is present. The controller determines, using the ratio, whether the cloud contains liquid water droplets, ice crystals, or a mixture of liquid water droplets and ice crystals.

A method of operating an optical icing conditions sensor includes transmitting, with a transmitter, a light beam and thereby illuminating an illumination volume. A receiver array receives light over a range of receiving angles. The receiver array is configured to receive light having the wavelength over a receiver array field of view which overlaps with the illumination volume. A controller measures an intensity of light received by the receiver array. The controller determines that a cloud is present if the intensity is greater than a threshold value. The controller calculates scattering profile data of the light received by the receiver array if a cloud is determined to be present, which includes an angle of a scattering intensity peak within the range of receiving angles and a breadth of the scattering intensity peak. The controller estimates a representative droplet size within the cloud using the scattering profile data.

A radio frequency (RF) circuit includes an input terminal configured to receive a reception signal from an antenna; an output terminal configured to output a digital output signal; a receive path including a mixer and an analog-to-digital converter (ADC), wherein the receive path is coupled to and between the input and output terminals, wherein the receive path includes an analog portion and a digital portion, and wherein the ADC generates a digital signal based on an analog signal received from the analog portion; a test signal generator configured to generate an analog test signal injected into the analog portion of the receive path; and a digital processor configured to receive a digital test signal from the digital portion, the digital test signal being derived from the analog test signal, analyze a frequency spectrum of the digital test signal, and determine a quality of the digital test signal.