The disclosed system and method for smart detection of an armament projectile can mitigate the detection of its radar by counter-radar systems. Particularly, the system may include an array of acoustic sensors for sensing one or more volleys associated with an armament projectile. An intelligent filtering module, coupled to the array of acoustic sensors, may select a volley based upon a learning algorithm, which can be applied to a target profile of historical system data logs. Based upon sensed parameters of the volley, the intelligent filtering module can calculate a radiation duration and a search fan width for radar transmission. Specifically, a controller, within the intelligent filtering module, may couple to actuate the radar at the calculated search fan width for the calculated radiation duration. In some embodiments, the intelligent filtering module can selectively actuate one radar based upon highest expanded detection probability relative to location and status.

A method for a radar sensor, in particular a radar sensor for motor vehicles. The method includes the steps: determining, for particular evaluation channels that correspond to different central antenna positions of relevant transmitting antennas and receiving antennas in one direction, and for particular individual radar targets, a respective individual radial velocity of the particular radar target associated with the particular evaluation channel, based on signals obtained in respective evaluation channels; estimating a particular velocity of the particular radar target based on the determined individual radial velocities of the radar target, the velocity including information concerning a velocity in the forward direction in relation to the radar sensor, and a tangential velocity; and associating radar targets as belonging to an extended radar object as a function of the estimated velocities of the radar targets. A radar sensor is also described.

A method of selectively broadcasting a message to a client by a server without knowing the client's internet protocol (IP) address includes performing target recognition and tracking on one or more targets, including position of the one or more targets, extracting target-specific context parameters from the one or more recognized and tracked targets, encoding the target-specific context parameters into a header, thereby generating a context address for the one or more targets, appending the context address to a message for the one or more targets from a predetermined set of messages based on the position of the one or more targets, thereby generating one or more packets of information, and broadcasting the one or more packets wirelessly to one or more client mobile devices each associated with the one or more targets.

Camera data and radar echoes are received from the surroundings. At least one radar echo is assigned to a delimiting frame of an object detected on the basis of a camera, the delimiting frame being generated using the camera data by comparing corresponding azimuth angles and specified distances of the radar echo and the object detected on the basis of a camera. In the event of a successful assignment, a distance which is assumed on the basis of a camera is corrected according to the distance of the respective detected object in the surroundings, said distance being determined in a radar-based manner. The respective delimiting frame together with the corrected distance is then output as an object data set which indicates a successful object detection.

A collision detection device on a motor vehicle for tracking a remote target vehicle for the detection of an imminent collision by fusing radar sensor data from a first environment sensor designed as a radar sensor with sensor data from a second environment sensor. First wheel acquisition data based on the radar sensor data from the first environment sensor and second wheel acquisition data based on sensor data from the second environment sensor are merged and a parameter of the target vehicle is established.

An illustrative example method of tracking an object includes detecting one or more points on the object over time to obtain a plurality of detections, determining a position of each of the detections, determining a relationship between the determined positions, and determining an estimated heading angle of the object based on the relationship.

The present invention provides a radar velocity measurement system, method, and radar device. The system includes a radar module and an electrically connected signal processor. The radar module includes a transmission antenna and a receive antenna. The signal processor includes a sequence unit, a conversion unit, and a compare calculation unit that are coupled with each other. The sequence unit establishes an even number receive sequence and an odd number receive sequence. The conversion unit carries out a time domain to frequency domain conversion upon the receive sequences to generate a first reflection signal and a second reflection signal, respectively. The compare calculation unit uses an interpolation method to compare the phase difference between the reflection signals with a comparison model to obtain a true velocity. Therefore, the present invention effectively prevents the velocity ambiguity issue of radar system.

The present disclosure is directed to providing a monitoring device that can improve the accuracy in tracking ships. A monitoring device (10) according to the present disclosure includes a position information acquiring unit (11) configured to acquire position information of an object to be tracked; an estimating unit (12) configured to estimate a position of the object to be tracked displayed in an image captured of a predetermined region; and an information generating unit (13) configured to generate path information of the object to be tracked by supplementing, based on an estimated position of the object to be tracked, the position of the object to be tracked held between the position indicated by the position information acquired at a first timing and the position indicated by the position information acquired at a second timing later than the first timing.

An apparatus includes an inverse radar sensor model processor and a grid mapping processor. The inverse radar sensor model processor receives radar sensor data for a time k from a radar sensor, generates object data based on the radar sensor data, and calculates instantaneous masses at the time k for each cell in a field of view (FOV) of the radar sensor based on the object data and a sensor characteristic. The inverse radar sensor model processor outputs the calculated instantaneous masses to the grid mapping processor, which also receives accumulated masses for each cell in the FOV for a time period 0:k - 1. An accumulated mass represents a combination of instantaneous masses for the cell at each time increment in the time period 0:k - 1. The grid mapping processor generates updated accumulated masses for a time period 0:k.

Some radar sensors may provide a Doppler measurement indicating a relative velocity of an object to a velocity of the radar sensor. Techniques for determining a two-or-more-dimensional velocity from one or more radar measurements associated with an object may comprise determining a data structure that comprises a yaw assumption and a set of weights to tune the influence of the yaw assumption. Determining the two-or-more-dimensional velocity may further comprise using the data structure as part of regression algorithm to determine a velocity and/or yaw rate associated with the object.