A vehicle radar system, apparatus and method use a radar control processing unit generate compressed radar data signals, to apply the compressed radar data signals to a log detector to generate log detector sample values, and to generate a first log cell-average constant false alarm rate (CA-CFAR) threshold from the log detector sample values by computing and adding an average sample value S.sub.AVG from the log detector sample values, a probability of false alarm factor α, and a log CA-CFAR correction factor β, where the first log CA-CFAR threshold may be used with a second log CA-CFAR threshold to generate an ordered statistics CA-CFAR threshold for the compressed radar data signals by sorting the first and second log CA-CFAR thresholds by magnitude to form a sorted list of log CA-CFAR thresholds, and then selecting a kth threshold from the sorted list of log CA-CFAR thresholds as the OS-CA-CFAR threshold.

In an embodiment, a method includes: initializing a crosstalk compensation factor indicative of a transmitter-receiver crosstalk between a transmit path of a radar sensor and a receive path of the radar sensor; receiving radar data from the radar sensor; selecting a set of data from the radar data; performing target detection on the set of data; and after performing the target detection on the set of data, when no target is detected in the set of data, updating the crosstalk compensation factor based on the set of data and, after updating the crosstalk compensation factor, generating a radar spectrum based on the radar data and the crosstalk compensation factor, and when a target is detected in the set of data, generating the radar spectrum based on the radar data and the crosstalk compensation factor without updating the crosstalk compensation factor.

A method for calibrating a patrol vehicle speed, comprising initiating a calibration cycle at a speed detection radar unit mounted in a vehicle, operating the vehicle to generate a vehicle speed signal using the speed detection radar unit and exiting the calibration cycle if the vehicle speed signal matches an observed speed from an independent source signal.

It is suggested to process radar signals including (i) determining a variation of at least one radar parameter provided from at least one radar device; (ii) determining an estimated value of at least one radar parameter from an error compensation vector; and (iii) determining a safety condition based on the variation and the estimated value for the respective radar parameter.

Techniques and apparatuses are described that enable radar attenuation mitigation. To improve radar performance, characteristics of an attenuator and/or properties of a radar signal are determined to reduce attenuation of the radar signal due to the attenuator and enable a radar system to detect a target located on an opposite side of the attenuator. These techniques are beneficial in situations in which the attenuator is unavoidably located between the radar system and a target, either due to integration within other electronic devices or due to an operating environment. These techniques save power and cost by reducing the attenuation without increasing transmit power or changing material properties of the attenuator.

The present disclosure relates to a device and method for detecting vertical misalignment of a vehicle radar device and vehicle radar device with the same. A radar device according to an embodiment determines a monitoring range including the ground in front by using the radar signal, determines an error of vertical angles for a number of ground distances within the monitoring range, and detects the vertical mounting misalignment of the radar device by using the error. According to embodiments, it is possible to accurately determine the vertical mounting misalignment of the radar device even if there is a road surface non-uniformity, road slope, or radar beam width change.

The disclosure relates to a device and method for controlling radar sensors. According to an embodiment, a device for controlling a radar sensor comprises a receiver receiving first detection target information from a first radar sensor and receiving second detection target information from a second radar sensor spaced apart from the first radar sensor by a predetermined distance, a determiner determining whether the second detection target information is present in a similarity target monitoring area set to include the first detection target information, if the first detection target information is received, and a controller detecting whether the first radar sensor and the second radar sensor are misaligned using the first detection target information and the second detection target information if the similarity target monitoring area includes the first detection target information and the second detection target information.

A computer implemented method for determining alignment parameters of a radar sensor comprises the following steps carried out by computer hardware components: determining measurement data using the radar sensor, the measurement data comprising a range-rate measurement, an azimuth measurement, and an elevation measurement; determining a velocity of the radar sensor; and determining the misalignment parameters based on the measurement data and the velocity, the misalignment parameters comprising an azimuth misalignment, an elevation misalignment, and a roll misalignment.

A mechanism is provided for estimating mounting orientation yaw and pitch of a radar sensor without need of prior knowledge or information from any other sensor on an automobile. Embodiments estimate the sensor heading (e.g., azimuth) due to movement of the automobile from radial relative velocities and azimuths of radar target detections. This can be performed at every system cycle, when a new radar detection occurs. Embodiments then can estimate the sensor mounting orientation (e.g., yaw) from multiple sensor heading estimations. For further accuracy, embodiments can also take into account target elevation measurements to either more accurately determine sensor azimuth and yaw or to also determine mounting pitch orientation.

A method and device for calibrating a sensor system of a moving object. The sensor system includes a plurality of individual sensors. Each individual sensor has a particular detecting range. Each of these sensors having a detecting range at least partially overlapping with at least one further sensor of the sensor system. The method includes: defining a virtual overall sensor based on a merger of the particular detecting ranges of each individual sensor; determining first coordinates of a plurality of external objects, as well as second coordinates of selected points of the moving object; and orienting the virtual overall sensor relative to the moving object, as a function of the first and second coordinates.