Methods, apparatus, systems and articles of manufacture are disclosed to improve Doppler velocity estimation. An example apparatus is disclosed including a transmitter to transmit a first sweep signal at a first position in a first block of time during a transmit time sequence pattern, and transmit a second sweep signal at a second position in a second block of time during the transmit time sequence pattern, the second position different than the first position. The example apparatus also includes a velocity analyzer to determine a velocity and a direction of arrival of a target object identified during the transmit time sequence pattern.

Methods, apparatus, systems and articles of manufacture are disclosed to improve Doppler velocity estimation. An example apparatus is disclosed including a transmitter to transmit a first sweep signal at a first position in a first block of time during a transmit time sequence pattern, and transmit a second sweep signal at a second position in a second block of time during the transmit time sequence pattern, the second position different than the first position. The example apparatus also includes a velocity analyzer to determine a velocity and a direction of arrival of a target object identified during the transmit time sequence pattern.

In an embodiment, a method includes: receiving reflected radar signals with a millimeter-wave radar; performing a range discrete Fourier Transform (DFT) based on the reflected radar signals to generate in-phase (I) and quadrature (Q) signals for each range bin of a plurality of range bins; for each range bin of the plurality of range bins, determining a respective strength value based on changes of respective I and Q signals over time; performing a peak search across the plurality of range bins based on the respective strength values of each of the plurality of range bins to identify a peak range bin; and associating a target to the identified peak range bin.

In an embodiment, a method includes: receiving reflected radar signals with a millimeter-wave radar; performing a range discrete Fourier Transform (DFT) based on the reflected radar signals to generate in-phase (I) and quadrature (Q) signals for each range bin of a plurality of range bins; for each range bin of the plurality of range bins, determining a respective strength value based on changes of respective I and Q signals over time; performing a peak search across the plurality of range bins based on the respective strength values of each of the plurality of range bins to identify a peak range bin; and associating a target to the identified peak range bin.

A radar system processes signals in a flexible, adaptive manner to determine range, Doppler (velocity) and angle of objects in an environment. The radar system processes the received signal to achieve different objectives depending on the environment, the current information stored in the radar system, and/or external information provided to the radar system. The system allows improved resolution of range, Doppler and/or angle depending on the desired objective.

An automated vehicle radar system capable of self-calibration includes an antenna, a transceiver, and a controller. The antenna broadcasts a radar-signal and detects a reflected-signal reflected by an object. The transceiver determines a distance, an angle, and a range-rate of the object relative to the antenna based on the radar-signal and the reflected-signal. The controller determines a speed of a host-vehicle; determines when the object is stationary based on the speed, the angle, and the range-rate; stores in a memory a plurality of detections that correspond to multiple instances of the distance, the angle, and the range-rate as the host-vehicle travels by the object; selects an ideal-response of angle versus range-rate based on the speed; determines a calibration-matrix of the system based on a difference between the plurality of detections and the ideal-response; and adjusts an indicated-angle to a subsequent-object in accordance with the calibration-matrix.

An automated vehicle radar system capable of self-calibration includes an antenna, a transceiver, and a controller. The antenna broadcasts a radar-signal and detects a reflected-signal reflected by an object. The transceiver determines a distance, an angle, and a range-rate of the object relative to the antenna based on the radar-signal and the reflected-signal. The controller determines a speed of a host-vehicle; determines when the object is stationary based on the speed, the angle, and the range-rate; stores in a memory a plurality of detections that correspond to multiple instances of the distance, the angle, and the range-rate as the host-vehicle travels by the object; selects an ideal-response of angle versus range-rate based on the speed; determines a calibration-matrix of the system based on a difference between the plurality of detections and the ideal-response; and adjusts an indicated-angle to a subsequent-object in accordance with the calibration-matrix.

Systems, methods, and non-transitory computer-readable media provide an adaptive gating mechanism for radar tracking initialization. Specifically, the radar system obtains measurement data of target points, and then determines, based on the measured position and dopplers of points in the first few scans, whether the doppler and displacement parameters satisfy an initialization constraint. When the initialization constraint is not satisfied, the radar system flags the respective cluster with an initialization flag, and adaptively uses the measured position and doppler of scanned points to determine the gating size for the next scan, instead of using a fixed gate size. When the initialization flag of the same cluster across a few consecutive scans satisfies a combination logic, the radar system determines that the tracking enters into the association stage, e.g., the radar system formally generates a track for the target points along a series of scans.

Systems, methods, and non-transitory computer-readable media provide an adaptive gating mechanism for radar tracking initialization. Specifically, the radar system obtains measurement data of target points, and then determines, based on the measured position and dopplers of points in the first few scans, whether the doppler and displacement parameters satisfy an initialization constraint. When the initialization constraint is not satisfied, the radar system flags the respective cluster with an initialization flag, and adaptively uses the measured position and doppler of scanned points to determine the gating size for the next scan, instead of using a fixed gate size. When the initialization flag of the same cluster across a few consecutive scans satisfies a combination logic, the radar system determines that the tracking enters into the association stage, e.g., the radar system formally generates a track for the target points along a series of scans.

Methods and systems are described that enable vehicle routing based on availability of radar-localization objects. A request to navigate to a destination is received, and at least two possible routes to the destination are determined. Availabilities of radar-localization objects for the possible routes are determined, and a route is selected based on the availabilities of the radar-localization objects. Furthermore, while traveling along a route, the vehicle is localized based on radar detections of radar-localization objects. A radar-localization quality of the localizing is monitored, and a determination is made that the radar-localization quality has dropped or will drop. Based on the radar-localization quality dropping, the route is modified and/or an operation of a radar module is adjusted. In this way, availabilities of radar-localization objects may be used to select an optimal route and to adjust a current navigation along a route to minimize driver takeover.