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 blade mounted radar system comprises a wind turbine having a hub and blades extending therefrom; a radar antenna configured to transmit and/or receive a radio frequency (RF) signal; and a processor in electrical communication with the radar antenna and configured to generate the RF signal for transmission and/or to process the received RF signal. The radar antenna is affixed to one of the blades of the wind turbine such that relative motion is defined between the radar antenna and a target within a line of sight of the radar antenna. The radar antenna detects impending weather events. A turbine controller generates a signal which alters at least one aspect of the wind turbine to secure and protect the wind turbine from the impending weather event.

A system for monitoring a maritime environment comprises a plurality of radio detection and ranging devices configured to perform a synchronous detection of a maritime environment object, to transmit a plurality of sensor signals respectively relating to a location of the maritime environment object over a communication network, and to receive a synchronization signal. Each radio detection and ranging device is configured to synchronize its operation according to the synchronization signal. A synchronization source is configured to generate the synchronization signal for synchronizing operations of radio detection and ranging devices, and to provide the synchronization signal over the communication network to the radio detection and ranging devices. A processing device is configured to receive the plurality of sensor signals from the plurality of radio detection and ranging devices, and to determine the location of the object in the maritime environment upon the basis of the plurality of sensor signals.

A three-dimensional wind vector field measurement system employs convergent beams for localised velocity measurement enabling mapping of the wind field across an extended spatial region. This enables characterisation of complex field signatures. This enables advanced control and protective systems for wind turbines. This also enables improved wind harvesting. This also enables improved prospecting. This also enables improved equipment selection. Buoy mounted systems enable measurement in an offshore environment.

Various implementations described herein are directed to adaptive frequency correction for pulse compression radar. In one implementation, a method may include generating a first transmission signal using a first direct digital synthesizer of a pulse compression radar system based on frequency sweep coefficients. The method may also include comparing a frequency of the first transmission signal at a feedback loop of a phase locked loop circuit and a frequency of an ideal waveform signal. The method may further include generating adaptive frequency coefficients based on the comparison, where the adaptive frequency coefficients are configured to compensate for a difference between the frequency of the first transmission signal at the feedback loop and the frequency of the ideal waveform signal. The method may additionally include generating a compensated transmission signal using the pulse compression radar system based on the adaptive frequency coefficients and the frequency sweep coefficients.

Example tornado detection systems and methods are described. In one implementation, a method receives data from a sensor mounted to a vehicle and analyzes the received data using a deep neural network. The method determines whether a tornado is identified in the received data based on the analysis of the received data. If a tornado is identified in the received data, the method determines a trajectory of the tornado.

The solid-state radar device includes: a transmission/reception unit configured to transmitting and receiving radio wave signals comprising a modulated signal and a non-modulated signal, which are pulse signals whose frequencies are different from each other; a frequency filter unit configured respectively to extract the modulated signal and the non-modulated signal from the received radio wave signals based on the frequencies; a pulse compression unit generating a pulse-compressed signal by pulse-compressing the modulated signal; a first echo image generation unit configured to generate a first echo image based on the non-modulated signal and the pulse-compressed signal; a wave analysis unit configured to analyze ocean wave information based on one of the non-modulated signal and the pulse-compressed signal; and a display signal generation unit configured to generate a display signal comprising the first echo image and/or the ocean wave information.

A system that has a chirp generator for emitting signals and an amplitude modulator for shaping the signals emitted by the chirp generator. The signals are shaped using a calibration ramp. The system further includes a Radio Frequency (RF) power amplifier for amplifying the signals shaped by the amplitude modulator, an RF power detector for measuring power levels of the signals amplified by the RF power amplifier, and a pre-distortion coefficient generator for adjusting the measured power levels using power detector calibration coefficients that correspond to the RF power detector.

A method of monitoring and verifying weather information using a weather condition detection system of a vehicle is provided. The method includes receiving weather information by a computing device within the vehicle. The weather information is verified locally at the vehicle using the computing device. Verifying the weather information includes optically verifying the weather information using a vehicle video system of the vehicle comprising a camera.

Disclosed are techniques for wireless signaling. In an aspect, a wireless sensing node receives a radio frequency for sensing (RF-S) configuration, performs one or more RF-S procedures based on the RF-S configuration, obtains sea state information based on the one or more RF-S procedures, and transmits the sea state information to a network component.