A communication system uses skywave propagation to transmit data between communication nodes over a data transmission path. An atmospheric sensor is configured to collect atmospheric data at the reflection point of the data transmission path where the transmission path is redirected from the atmosphere toward the surface of the Earth. Data collected by the atmospheric sensor may be used to predict future ionospheric conditions and determine optimum working frequencies for transmission of data between the communication nodes.

The technology relates to determining general weather conditions affecting the roadway around a vehicle, and how such conditions may impact driving and route planning for the vehicle when operating in an autonomous mode. For instance, the on-board sensor system may detect whether the road is generally icy as opposed to a small ice patch on a specific portion of the road surface. The system may also evaluate specific driving actions taken by the vehicle and/or other nearby vehicles. Based on such information, the vehicle's control system is able to use the resultant information to select an appropriate braking level or braking strategy. As a result, the system can detect and respond to different levels of adverse weather conditions. The on-board computer system may share road condition information with nearby vehicles and with remote assistance, so that it may be employed with broader fleet planning operations.

A system assists the driving of a ship and is configured to estimate the structural loads of the ship due to the direct wave excitation, and structural loads of the ship due to the whipping effect caused by the wave slamming. The system includes at least one reference sensor adapted to provide an indication of a motion or stress magnitude at a predetermined point of the ship structure, and is further configured to calculate an estimate of the magnitude at the predetermined point in the ship structure, compare the indication of magnitude with the estimate of the magnitude so as to determine an offset value, and correct the estimates of the structural loads and/or the estimate of the magnitude on the basis of the offset value.

A system includes an autonomous vehicle and a control device associated with the autonomous vehicle. The control device obtains a plurality of sensor data captured by sensors of the autonomous vehicle. The control device determines a plurality of rainfall levels based on the sensor data. Each rainfall level is captured by a different sensor. the control device determines an aggregated rainfall level in a particular time period by combining the plurality of rainfall levels determined during the particular time period. The control device selects a particular object detection algorithm for detecting objects by at least one sensor. The particular object detection algorithm is configured to filter at least a portion of interference caused by the aggregated rainfall level in the sensor data. The control device causes the particular object detection algorithm to be implemented for the at least one sensor.

A clutter suppressing device for suppressing echo data of reflection waves caused by radar transmission signals reflecting on a static object is provided. Each of the radar transmission signals is transmitted at a predetermined azimuth from a radar antenna at a predetermined time interval. The clutter suppressing device includes an echo data memory configured to sequentially store a plurality of echo data of reflection waves caused by the radar transmission signals reflecting on objects, a filter configured to select, from the plurality of echo data, a data row in the azimuth direction for a predetermined distance, and suppress, in the data row, echo data of a target object moving at a speed within a predetermined range, and a suppression echo data output unit configured to output suppression echo data containing the echo data suppressed by the filter.

A radar system for a wind turbine is provided. The radar system comprises a first radar unit (42) and a control unit (41) arranged to receive an output from the radar unit, the control unit comprising a central processing unit. The central processing unit is configured to perform a first function of determining at least one property of aircraft within a monitoring zone in the vicinity of the wind turbine and controlling a warning device to output a warning signal to detected aircraft based on the determined property; and perform a second function of determining at least one parameter of prevailing weather in the vicinity of the wind turbine. A corresponding method is also provided.

Embodiments of a system for simulating a radio frequency (RF) scene associated with a moving maritime surface are generally described herein. An RF scene is generated using an RF scene generation model and a moving maritime surface is generated using a maritime surface model. The RF scene is integrated with the moving maritime surface model. The RF scene generation model is configured to apply a radar model to generate and update the RF scene based on simulated radar returns at a radar pulse repetition frequency (PRF) and the maritime surface model is configured to update the moving maritime surface at a maritime surface update rate, access previous and current maritime surfaces, and interpolate surface facet properties to pulse times of the radar model, The maritime surface model is configured to update the moving maritime surface once every subdwell.

This disclosure relates to systems and methods for measuring wave fields of a body of water. A system can include a radiation source and an antenna that can cooperate with the radiation source to transmit a radio frequency (RF) signal to a wave field having one or more waves. The antenna can receive backscattered signals from the wave field. The system can include a local oscillator and a processor. The local oscillator downconverts the backscattered signals into baseband signals and the processor can process the baseband signals to determine a relative velocity of each of the waves of the wave field. The processor can further be programmed to identify an observed portion of the backscattered signals as bad data and remove the bad data from further processing.

Techniques are disclosed for systems and methods to provide wildlife feeding flock detection using a remote sensing imagery system. A remote sensing imagery system includes a radar assembly mounted to a mobile structure and a coupled logic device. The logic device is configured to receive radar returns corresponding to a detected target, determine a radial velocity spectrum associated with the detected target based, at least in part, on the received radar returns, and determine a probability the detected target includes a feeding flock based, at least in part, on the determined radial velocity spectrum. The logic device may generate radar image data based on the received radar returns, the determined radial velocity spectrum, and/or the probability the detected target includes the feeding flock. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

The purpose is to calculate wave information accurately. A signal processing device 10 is provided, which may include a frequency area spectrum generating module 8, an integrating module 17, and a wave information calculating module 18. The frequency area spectrum generating module 8 may carry out a frequency analysis of the echoes from the waves included in a plurality of analysis areas set within the detection area, respectively, and generate frequency area spectrums for the plurality of analysis areas, respectively. The integrating module 17 may integrate echo intensities indicated by each sampling point that constitutes each of the frequency area spectrums while unifying directions included in coordinates of the frequency area spectrum, and generate an integrated frequency area spectrum. The wave information calculating module 18 may calculate wave information that is information related to the waves included in the analysis areas based on the integrated frequency area spectrum, respectively.