An apparatus (100) for compensating for weather-independent Doppler expansions in radar signals of a weather radar system (200) is disclosed. The device comprises: a receiving device (110) for receiving a representation (50) of the radar signals, a calculation device (120) and a compensation device (130). The representation includes pixels of a range Doppler matrix. The calculation device (120) is designed to calculate azimuth angles (Azi) for the pixels (75) by means of fine bearing. The compensation device (130) is designed to correct weather-independent Doppler shifts for the pixels (75) based on the calculated azimuth angle (Azi; AziMopu) and thus to compensate for the weather-independent Doppler expansions and to provide them as a compensated representation (150).

A sensor device (10) comprising a housing (48a-b), a position sensor (44) for determining an alignment, a display unit (46a-d) for displaying alignment information, and a control and evaluation unit (40) configured to use the position sensor (44) to determine the sensor device's (10) alignment, to compare the alignment with a desired alignment, and to display a comparison result using the display unit (46a-d), wherein the display unit (46a-d) comprises at least three light sources (46a-d) at positions distributed over the housing (48a-b), each light source (46a-d) being configured to assume a first display state for a correct alignment and a second display state for an alignment that is not yet correct, with the control and evaluation unit (40) further being configured to display the comparison result as display states of the light sources (46a-d).

An operation mode control method implemented by a radar system, the operation mode control method includes steps of: (S1) receiving a single target tracking (STT) triggering data comprising a representation of triggering of a STT tracking mode and a selected tracking target to be tracked by the radar system; (S2) controlling a radar sensor to emit detection wave beam; (S3) controlling, the radar sensor to receive echo waves; (S4) analyzing, echo signal to generate STT target data; (S5) executing a STT program to obtain a tracking data of a selected tracking target; (S6) outputting the tracking data to a memory device for storage or to a human-machine interface (HMI) device for presenting to the user of the radar system.

An operation mode control method implemented by a radar system, the operation mode control method includes steps of: (S1) receiving a single target tracking (STT) triggering data comprising a representation of triggering of a STT tracking mode and a selected tracking target to be tracked by the radar system; (S2) controlling a radar sensor to emit detection wave beam; (S3) controlling, the radar sensor to receive echo waves; (S4) analyzing, echo signal to generate STT target data; (S5) executing a STT program to obtain a tracking data of a selected tracking target; (S6) outputting the tracking data to a memory device for storage or to a human-machine interface (HMI) device for presenting to the user of the radar system.

A radar image processing device is provided for generating a radar image from a region of interest (ROI). The radar image processing device receives transmitted radar pulses and radar echoes reflected from the ROI at different positions along a path of a moving radar platform and stores computer-executable programs including a range compressor, a graph modeling generator, a signal aligner, a radar imaging generator and a focused image generator. The radar image processing device performs range compression on the radar echoes by deconvolving the transmitted radar pulses and a radar measurement to obtain frequency-domain signals, generate a graph model represented by sequential positions of the moving radar platform and a graph shift matrix computed using the frequency-domain signals, iteratively denoise and align the frequency-domain signals to obtained denoised data and time shifts by solving a graph-based optimization problem represented by the graph model, wherein the approximated time shifts compensate phase misalignments caused by perturbed positions of the moving radar platform, and perform radar imaging based on the denoised data and the estimated time shifts to generate focused radar images.

A radar image processing device is provided for generating a radar image from a region of interest (ROI). The radar image processing device receives transmitted radar pulses and radar echoes reflected from the ROI at different positions along a path of a moving radar platform and stores computer-executable programs including a range compressor, a graph modeling generator, a signal aligner, a radar imaging generator and a focused image generator. The radar image processing device performs range compression on the radar echoes by deconvolving the transmitted radar pulses and a radar measurement to obtain frequency-domain signals, generate a graph model represented by sequential positions of the moving radar platform and a graph shift matrix computed using the frequency-domain signals, iteratively denoise and align the frequency-domain signals to obtained denoised data and time shifts by solving a graph-based optimization problem represented by the graph model, wherein the approximated time shifts compensate phase misalignments caused by perturbed positions of the moving radar platform, and perform radar imaging based on the denoised data and the estimated time shifts to generate focused radar images.

The present invention includes systems and methods for a continuous-wave (CW) radar system for detecting, geolocating, identifying, discriminating between, and mapping ferrous and non-ferrous metals in brackish and saltwater environments. The radar system (e.g., the CW radar system) generates multiple extremely low frequency (ELF) electromagnetic waves simultaneously and uses said waves to detect, locate, and classify objects of interest. These objects include all types of ferrous and non-ferrous metals, as well as changing material boundary layers (e.g., soil to water, sand to mud, rock to organic materials, water to air, etc.). The radar system (e.g., the CW radar system) is operable to detect objects of interest in near real time.

The present invention includes systems and methods for a continuous-wave (CW) radar system for detecting, geolocating, identifying, discriminating between, and mapping ferrous and non-ferrous metals in brackish and saltwater environments. The radar system (e.g., the CW radar system) generates multiple extremely low frequency (ELF) electromagnetic waves simultaneously and uses said waves to detect, locate, and classify objects of interest. These objects include all types of ferrous and non-ferrous metals, as well as changing material boundary layers (e.g., soil to water, sand to mud, rock to organic materials, water to air, etc.). The radar system (e.g., the CW radar system) is operable to detect objects of interest in near real time.

A slope failure monitoring system comprising: a 2D Doppler radar that acquires azimuth and range data of moving radar targets in a scene; a 2D high definition imaging device operating in an optical frequency band that acquires azimuth and elevation data of moving image targets in the scene; and a processing unit that processes azimuth and range data from the Doppler radar and azimuth and elevation data from the imaging device to: identify moving radar targets and moving image targets having matching azimuth data as a moving target; fuse azimuth and range data from the Doppler radar with azimuth and elevation data from the imaging device and generates azimuth, range and elevation data of the moving target; and determine a 3D location of the moving target in the scene.

A slope failure monitoring system comprising: a 2D Doppler radar that acquires azimuth and range data of moving radar targets in a scene; a 2D high definition imaging device operating in an optical frequency band that acquires azimuth and elevation data of moving image targets in the scene; and a processing unit that processes azimuth and range data from the Doppler radar and azimuth and elevation data from the imaging device to: identify moving radar targets and moving image targets having matching azimuth data as a moving target; fuse azimuth and range data from the Doppler radar with azimuth and elevation data from the imaging device and generates azimuth, range and elevation data of the moving target; and determine a 3D location of the moving target in the scene.