The general field of the invention is that of Doppler lidars intended to measure the speed of a target. The lidar according to the invention comprises: First means for modulating the optical frequency of the transmission signal, said frequency being the sum of a constant frequency and of a variable frequency of determined amplitude modulated by a periodic temporal function; Second means for computing the spectrum of the measured heterodyne signal and for creating two measurement spectra obtained by shifting the spectrum of the heterodyne signal by a positive and negative frequency value, said realignment frequency equal to the difference between the instantaneous frequency of the transmission signal and the frequency of a signal transmitted at a time shifted by the round-trip travel time between the lidar and the target; Third means for comparing the two measurement spectra, the difference in amplitude between the two spectra at the Doppler frequency determining the direction of the speed of the target.

An air data system comprises an optical air data system comprising one or more LiDAR channels that each include at least one line-of-sight for air data interrogation, wherein the LiDAR channels are configured to output a set of air data signals. An optional non-optical air data system comprises one or more non-optical air data sensors selected from one or more pitot sensors, one or more static pressure sensors, one or more temperature sensors, one or more angle of attack vanes, one or more angle of sideslip vanes, one or more multi-function probes, or combinations thereof. The non-optical air data sensors are configured to output a set of air data signals. One or more processors are coupled to the LiDAR channels and the non-optical air data sensors when present. The processors are configured to use the air data signals to conduct signal analysis, data processing, data augmentation, voting, or combinations thereof.

A method of enhancing LiDAR data is provided. The method includes inputting LiDAR data from at least one LiDAR sensor; inputting data from at least one of: at least one static pressure sensor; and at least one total air temperature sensor; and extracting accurate air data parameters by processing one of: the LiDAR data and static pressure data from the static pressure sensor; the LiDAR data and true temperature data from the total air temperature sensor; or the LiDAR data, the static pressure data from the static pressure sensor, and the true temperature data from the total air temperature sensor. The method also includes generating augmented air data based on the extracted accurate air data parameters and outputting the augmented air data.

A system usable to adapt an optical device to calculate a condition value. The system utilizes data from an optical device about a field of vision to calculate a condition value such as temperature for a target within the field of vision. The system makes use of an adapter connected to the optical device for transmitting adapter output data and a converter that accesses the adapter output data to calculate the condition value. The adapter components can weigh less than 3 ounces, and encompass a volume of less than 4 cubic inches, making it suitable for deployment on a drone, or remotely operated vehicle.

A system usable to adapt an optical device to calculate a condition value. The system utilizes data from an optical device about a field of vision to calculate a condition value such as temperature for a target within the field of vision. The system makes use of an adapter connected to the optical device for transmitting adapter output data and a converter that accesses the adapter output data to calculate the condition value. The adapter components can weigh less than 3 ounces, and encompass a volume of less than 4 cubic inches, making it suitable for deployment on a drone, or remotely operated vehicle.

The present invention provides a system and method for velocity vector field calculation at the voxel level of a multi-phase flow system using Electrical Capacitance Volume Tomography sensors.

In an embodiment, a method is provided. The method comprises selecting at least one set of line of sight (LOS) vectors oriented in one or more directions outward from a vehicle; determining at least one air data solution based on the at least one set of LOS vectors; adjusting at least one value of an air vector equation based on a predetermined quantity; upon adjusting the at least one value, then determining at least one modified air data solution, wherein the at least one modified air data solution is determined based on the at least one set of LOS vectors and the at least one value; and comparing a difference between the at least one air data solution and the at least one modified air data solution to a threshold value, wherein the threshold value is indicative of error with respect to the at least one set of LOS vectors.

A method of determining the speed of the wind to be taken into account for determining a maximum authorized takeoff weight of an aircraft. A measured speed TAS.sub.mes of the local wind is calculated from at least one current speed TAS.sub.inst of the local wind and an observed speed TAS.sub.obs of the local wind on the basis of weather observations and on the basis of a heading value. The measured speed TAS.sub.mes is compared with the observed speed TAS.sub.obs in order to determine a calculated speed TAS.sub.perfo of the local wind while also making use of at least one instability criterion of the local wind as supplied by the weather observations and weather forecasts. The calculated speed TAS.sub.perfo is then for taking into account in order to optimize the maximize authorized takeoff weight of the aircraft.

A method of determining the speed of the wind to be taken into account for determining a maximum authorized takeoff weight of an aircraft. A measured speed TAS.sub.mes of the local wind is calculated from at least one current speed TAS.sub.inst of the local wind and an observed speed TAS.sub.obs of the local wind on the basis of weather observations and on the basis of a heading value. The measured speed TAS.sub.mes is compared with the observed speed TAS.sub.obs in order to determine a calculated speed TAS.sub.perfo of the local wind while also making use of at least one instability criterion of the local wind as supplied by the weather observations and weather forecasts. The calculated speed TAS.sub.perfo is then for taking into account in order to optimize the maximize authorized takeoff weight of the aircraft.

A fluid measurement device includes sensor elements that are arranged around a pipe in which a fluid containing a scatterer flows and include each of a light source, a light receiver, and a partition structure for shading between the light source and the light receiver, a signal processor that processes the signals obtained from the light that has been received and photoelectrically converted by the light receivers, and a calculator that calculates at least one of a flow velocity and a flow rate using the signals processed by the signal process unit. The light source and the light receiver in each of the sensor elements are arranged in proximity along the pipe axis direction of the pipe so as to have a reverse positional relationship to the light source and the light receiver in the adjacent sensor elements.