According to an embodiment, positioning system includes transmitter apparatus transmits radio wave and receiver apparatus receives target echo. Transmitter apparatus comprises first receiver and transmitter. First receiver receives GPS signal and outputs reference signal. Transmitter transmits radio wave at time interval based on reference signal. The receiver apparatus includes second receiver, detector and first and second calculators. Second receiver receives GPS signal and outputs time information. Detector receives target echo and outputs reception signal added received time information. First calculator calculates Doppler frequency based on reception frequency and transmission frequency. Second calculator calculates time difference of echo based on Doppler frequency. Detector sets time filter to receive next pulse based on time difference and time information of reception signal.

According to an embodiment, positioning system includes transmitter apparatus transmits radio wave and receiver apparatus receives target echo. Transmitter apparatus comprises first receiver and transmitter. First receiver receives GPS signal and outputs reference signal. Transmitter transmits radio wave at time interval based on reference signal. The receiver apparatus includes second receiver, detector and first and second calculators. Second receiver receives GPS signal and outputs time information. Detector receives target echo and outputs reception signal added received time information. First calculator calculates Doppler frequency based on reception frequency and transmission frequency. Second calculator calculates time difference of echo based on Doppler frequency. Detector sets time filter to receive next pulse based on time difference and time information of reception signal.

Determining a target's range profiles is an important issue for coastal surveillance radars because it can give us the knowledge about the target, for example, target's type, target's structure and its length along radial direction. Some modern radars nowaday are equipped with the feature of target's range profile extraction, but the results are not accurate due to limitations in processing algorithms. The invention “system and method of determining target's range profiles for coastal surveillance radars” solves the above problem in the direction of proposing a system of technical solutions and associated algorithm improvements.

Multi-mode multi-input multi-output (MIMO) radar sensors are described herein. An example MIMO radar sensor includes a receiver module including an array of receiver antenna elements to receive radar signals and a transmitter module including an array of transmitter antenna elements. Groups of the transmitter antenna elements form transmitter chains. The example MIMO radar sensor further includes a control system to, in a first mode, activate a first set of the transmitter antenna elements of each of the transmitter chains, and, in a second mode, activate a second set of the transmitter antenna elements of each of the transmitter chains, where the second set is larger than the first set. The transmitter antenna elements are arranged such that distances between phase centers of the transmitter chains in the first mode and the second mode are the same.

Multi-mode multi-input multi-output (MIMO) radar sensors are described herein. An example MIMO radar sensor includes a receiver module including an array of receiver antenna elements to receive radar signals and a transmitter module including an array of transmitter antenna elements. Groups of the transmitter antenna elements form transmitter chains. The example MIMO radar sensor further includes a control system to, in a first mode, activate a first set of the transmitter antenna elements of each of the transmitter chains, and, in a second mode, activate a second set of the transmitter antenna elements of each of the transmitter chains, where the second set is larger than the first set. The transmitter antenna elements are arranged such that distances between phase centers of the transmitter chains in the first mode and the second mode are the same.

A radar system includes a transmitter, a receiver, and a processor. The transmitter transmits continuous wave radio signals. The receiver receives radio signals that includes the transmitted radio signal reflected from targets in an environment. The targets include a first target and a second target. The first target is closer than a first threshold distance from the vehicle, and the second target is farther than the first threshold distance from the vehicle. A processor is configured to process the received radio signals. The processor is configured to selectively process the received radio signals to detect the second target. The processor selectably adjusts operational parameters of at least one of the transmitter and the receiver to discriminate between the first target and the second target.

A radar system includes a transmitter, a receiver, and a processor. The transmitter transmits continuous wave radio signals. The receiver receives radio signals that includes the transmitted radio signal reflected from targets in an environment. The targets include a first target and a second target. The first target is closer than a first threshold distance from the vehicle, and the second target is farther than the first threshold distance from the vehicle. A processor is configured to process the received radio signals. The processor is configured to selectively process the received radio signals to detect the second target. The processor selectably adjusts operational parameters of at least one of the transmitter and the receiver to discriminate between the first target and the second target.

A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

This disclosure describes techniques for using radar cross-section (RCS) data to classify objects detected by autonomous vehicles within driving environments. In some examples, the variance of the RCS data associated with an object may be evaluated to determine signal interference caused by multipath fading. The variance of the RCS data may be used to classify the object and to determine whether the autonomous vehicle can safely drive over the object. For instance, objects such as manhole covers, storm drains, and expansion joints may provide a significant radar signal, but low RCS variance indicating that they can be driven over by the vehicle. Based on the classification of the object, the autonomous vehicle may determine a trajectory around the object or directly over the object.