The systems and methods use Hermetic Transform processing to achieve higher resolution in space, time, and frequency measurements, leading to enhanced object detection, localization, and classification, and can improve several aspects of RADAR, including: phased-array beamforming, Doppler filter processing, pulse compression/replica correlation, and in the creation of higher resolution ambiguity function measurements for both multi-static active and passive RADAR.

In order to improve accuracy of kind identification of a detected object in a radar device provided in a sensor fusion system, information of the result of kind identification by a camera device provided in the sensor fusion system is given to the radar device and an attribution degree database that is used for identification determination by the radar device during the operation of the sensor fusion system is updated by a database update block.

According to a first aspect of the present inventive concept there is provided an autonomous mobile cleaning robot, comprising: a radar sensor configured to scan a surface, during a movement of the robot along the surface, by transmitting radar signals towards the surface and acquiring, at different positions along said movement, radar responses from the surface, a radar signal processor configured to extract one or more features of each acquired radar response from the surface, and a controller configured to control an operation of the robot based on the extracted one or more features.

A simulation method for predicting a false positive for a predefined region outside a desired field of view of a radar sensor. Calculated primary rays having a respective primary energy level represent the radar signal. Reflected rays are calculated based on the primary rays or other reflected rays and based on geometrical data for at least one item within the predefined region. An energy level is determined for each reflected ray based on an estimated reflectivity of the at least one item and based on the primary energy level of the respective primary ray, and a clustering level for the reflected rays is determined based on distances of the respective reflection points. A probability for an occurrence of a false positive is estimated based on the energy level and the clustering level.

A method includes at least a preliminary step of storing a set of tracking algorithms as a function of types of targets and of environments, each tracking algorithm being a function of a type of target in a given environment; a step of detecting signals backscattered by the targets resulting in primary detections being obtained; the detection step being followed, for each detected target: by a step: of characterizing the detected target into types of target on the basis of the primary detections; and of analysing the environment of the targets in order to determine in which given environment each detected target is located; a step of adapting the tracking to each detected target, the adapting being completed by selecting the tracking algorithm as a function of the type of target to which the target belongs and of the given environment in which it is located.

A system for characterizing the environment and objects in the environment created by fusing a plurality of sensor data, comprising a plurality of radar sensors each radar sensor integrated into a wireless module. A processor is operatively connected to the plurality of radar sensors and to a memory, wherein the memory includes instructions recorded thereon that, when read by the processor, cause the processor to combine the sensor data to identify, monitor and characterize the environment and objects within the environment.

Disclosed is a method and a system for the automated computation of a length or width dimension of a moving platform. The method includes sending radio waves toward the platform along a predetermined transmission axis and acquiring at least one digital power profile signal representative of a received reflected signal power as a function of a radial distance along the transmission axis relative to a reference point. This method next includes applying a filtering operator on the acquired digital power profile signal, making it possible to obtain a filtered digital signal, determining, by computation, a first radial distance corresponding to a first variation peak of the filtered digital signal and a second radial distance corresponding to a second variation peak of the filtered digital signal, and the computing a radial dimension of the platform as a function of the first and second radial distances.

A multiple-input and multiple-output (MIMO) radar system, including a horizontal antenna array having horizontal elements to detect an azimuth angle estimation, the horizontal elements being arranged in a sparse and non-sparse distribution, a vertical antenna array having vertical elements to detect an elevation angle estimation, the vertical elements being arranged in a sparse and non-sparse distribution, and a two-dimensional antenna array including a portion of the horizontal antenna array and a portion of the vertical antenna array. The system is configured to estimate, using the horizontal antenna array, an azimuth angle, to estimate, using the vertical antenna array, an elevation angle, to identify, based on the azimuth angle and the elevation angle, one or more ambiguities, and to analyze, using a portion of the two-dimensional antenna array, the one or more ambiguities to determine a more accurate azimuth angle and elevation angle.

A detection device includes: a light source that emits, toward an object, light of a first wavelength band, and light of a second wavelength band that is less readily absorbed by water than the light of the first wavelength band; a polarization splitter that splits at least one of S-polarized light and P-polarized light from light that has been reflected or scattered at the object; a photoreceptor that receives light reflected or scattered at the object via the polarization splitter; and a control unit that determines a state of the object from information based on light received by the photoreceptor. The light emitted by the light source is random polarized light where the ratio of P-polarized light and S-polarized light is generally uniform.

Aspects of the disclosure are directed to apparatuses, systems and methods for radar processing. As may be implemented in accordance with one or more aspects herein, an apparatus may include receiver circuitry to receive and sample radar signals reflected from a target, and processing circuitry to carry out the following. Representations of the reflections are transformed into the time-frequency domain where they are oversampled. The oversampled representations of the reflections are inversely transformed to provide resampled reflections. Positional characteristics of the target may then be ascertained by constructing a range response characterizing the target based on the resampled reflections.