Disclosed herein are systems and methods for filtering false targets from radar scans. A point in a current scan frame is associated with a doppler and point range from the radar. The point is validated and its doppler, point range, and scan time are used to determine an expected range of the point in a subsequent scan frame. A matching point is found within the expected range. The matching point is analyzed and validated over multiple consequent scans. Each successful detection of the point (e.g., validation of the matching point) in subsequent scan within its corresponding expected range is considered a positive identification. A positive identification count which exceeds a threshold relative to the total number of scans may indicate a valid target. Thus, a positive identification count for a point over multiple scans which is less than the threshold is classified as a false target.

Systems and methods for monitoring vital signs (e.g. heartbeat, respiration) using FMCW millimeter wave radar are disclosed herein. A transceiver is used to transmit a first signal (FMCW) and receive a second signal (reflected). The transceiver transmits the second signal data to a computing device. A first set of radar data is generated by software on the computing device, based on the received second signal. A first set of Doppler interval measurements is obtained from the first set of radar data. A high Doppler response is obtained from the first set of Doppler interval measurements and vital sign data is extracted from the high Doppler response. Advantages include the use of Doppler frequencies which are free to use according to FAA specifications; living organisms (subjects) are not affected by the radiation or the transmission path; and a subject may be remotely monitored without requiring physical access.

A radar device includes a signal reception unit that acquires reception signals of transmission waves transmitted from transmission antennas, a transmission signal acquisition unit that receives transmission waves transmitted from the transmission antennas by using transmission signal acquisition antennas, and acquires received reception signals as transmission signal replicas, an unnecessary signal suppression unit that suppresses unnecessary signals of the reception signals acquired by the signal reception unit, a cross-correlation operation unit that calculates cross-correlation values between the transmission signal replicas and the reception signals including the suppressed unnecessary signals, and a beam formation unit that forms beams and estimates a direction of a target by using cross-correlation values corresponding to the respective transmission signals.

A system and method for detection and identification of an Unmanned Aircraft Systems (UAS) employs a radar system to detect and identify the UAS based on the rich Doppler spectrum generated by one or more rotors and associated motors onboard the UAS. UAS have a low radar cross sections (RCS), relatively low speed, and possess a unique Doppler signature providing data for the system to discriminate once the system detects the quadcopter UAS. The system and method functions as a traditional radar, yet analyzes the micro-Doppler signature, including the RCS and radial speed, to detect and identify the UAS. Based on the signature analysis, the system and method are able to distinguish one model from other types of UAS.

Techniques for accurately determining a velocity of a radar (or ultrasonic, sonar) device and/or a moveable platform associated with the radar device may comprise fitting a model to a set of Doppler values received from the device, and determining the velocity based at least in part on the model. Fitting the model to the set may comprise determining a residual between an estimated Doppler value generated by the model and a measured Doppler value and altering a parameter of the model based at least in part on an asymmetrical loss function and the residual. The asymmetrical loss function may comprise a first portion that comprises a square of the residual and a second portion that is linearly proportional to the residual. The second portion may be based at least in part on an estimated velocity and/or estimated Doppler value and may account for out-of-plane returns.

A method includes identifying, from a reflected radar signal, a plurality of single detections corresponding to object surface spots detected by the radar sensor system, wherein the positions of the single detections in a Range-Doppler-map are deter-mined, wherein at least a region of the Range-Doppler map is divided into a plurality of adjacent evaluation regions separated by separation lines, wherein the separation lines extend parallel to one of the range axis and the Doppler axis. For each evaluation region, at least one selected detection is determined which has, among the detections present in the respective evaluation region, an extremal value with respect to the other axis of the range axis and the Doppler axis, and a boundary of the at least one object is determined based on the selected detections.

A vehicle running status field model-based information transmission frequency optimization method in the Internet of Vehicles belongs to the technical field of network communications. The method establishes a running status field model according to the real-time running status of a road vehicle to describe the degree of risk of the vehicle, the degree of risk can be used to dynamically adjust the transmission frequency of safety-critical information, and the transmission frequency of non-safety-critical information is adjusted through the real-time transmission frequency of safety-critical information to achieve the purpose of improving the utilization ratio of link. The method establishes the running status field model of a moving vehicle, uses the risk intensity of the vehicle in the running status field to describe the current running risk of the vehicle, and takes account of different application scenarios, thereby having generality. In addition, the improved network resource optimization method can effectively improve the communication efficiency of heterogeneous networks, and dynamically adjust the transmission frequency of safety-critical information through the magnitude of the risk intensity to improve the utilization ratio of link.

A device, system and method of use for the relative navigation in a fluid medium, the device having a receiver and a controller, the receiver capable of receiving signals through the fluid medium. The signals, produced by a source, are capable of undergoing Doppler shift, and the controller is capable of determining the Doppler shift of the signals and determining the bearing between the device and the source of the signals. The system further having a first vehicle capable of producing the signals and a second vehicle having the device and wherein the device determines the bearing of the second vehicle in relation to the first vehicle.

An example method for performing a joint radon transform association includes detecting, by a processing device, a target object to track relative to a vehicle. The method further includes performing, by the processing device, the joint radon transform association on the target object to generate association candidates. The method further includes tracking, by the processing device, the target object relative to the vehicle using the association candidates. The method further includes controlling, by the processing device, the vehicle based at least in part on tracking the target object.

A radar system, comprising: a receive antenna configured to receive a receive signal reflected from a bullet, the receive signal exhibiting a Doppler shift according to the motion of the bullet; and a detector implementing a set of matched filters each configured to determine a measure of correlation between the Doppler shift of the receive signal and one of a set of pre-stored Doppler shifts, wherein each of the pre-stored Doppler shifts respectively represents the Doppler shift of a bullet passing the antenna at a different speed or a distance of a point of closest approach.