Patent classifications
G01S7/022
BASE STATION AND USER EQUIPMENT FOR FREQUENCY RANGE DETECTION
Base station (101) is provided, comprising a frequency range setup device (003), a writing device (104), and a transmitting device (105), wherein the frequency range setup device is adapted to determine the frequency range to be used for a UE, wherein the frequency range setup device is adapted to communicate the frequency range to be used for a UE to the writing device, wherein the writing device is adapted to encode the frequency range to be used for a UE and to w the encoded information into a data structure, wherein the writing device is further adapted to forward the data structure to the transmitting, device and wherein the transmitting device is adapted to transmit the data structure.
ELECTRONIC COMPONENT AND ELECTRONIC DEVICE
An electronic component includes: a variable capacitance element; a substrate that has the variable capacitance element; a connection pattern that is electrically connected to the variable capacitance element; and a sealing member that has permittivity lower than that of the substrate and has insulation resistance higher than that of the substrate. At least a part of the connection pattern is disposed on an outer surface of the sealing member.
High probability of intercept radar detector
Operating a police radar detector to suppress nuisance radar alerts due to received signals that are not police radar signals includes receiving electromagnetic signals; mixing received electromagnetic signals with a local oscillator signal that is swept at a constant sweep rate; and accumulating a virtual image of the signal environment represented by received electromagnetic signals. Analysis of the virtual image is performed for signals suspected of being nuisance signals that could result in nuisance radar alert so that any nuisance signals within the virtual image can be identified and ignored by the alarm portion of the police radar detector.
TIME SYNCHRONIZED RADAR TRANSMISSIONS
Certain aspects of the present disclosure provide techniques for radar detection by an apparatus. In certain aspects a method for radar detection by an apparatus includes selecting one or more radar transmission parameters based on a reference time, wherein the reference time is common to at least a group of vehicles. The method further includes performing radar detection using the selected radar transmission parameters and the reference time.
High probability of intercept radar detector
A detector for detecting continuous wave police radar that includes an antenna configured to receive an input signal, a diplexer in communication with the antenna to separate the input signal into a high-band signal and a low-band signal, a local oscillator configured to sweep through a range of frequencies to produce F.sub.LO, and a frequency multiplier to generate a first mixing signal that is an integer multiple of F.sub.LO. The detector also includes a high-band intermediate-frequency signal and a low-band intermediate-frequency signal with a switch configured to select one of them as an output intermediate-frequency signal. A second-stage mixes the output intermediate-frequency signal with F.sub.LO to generate an output signal, and a determination is made whether the input signal includes a police radar signal.
Radar deep learning
Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.
Detection device and detection system
A detection device, which detects a behavior of a vehicle in a preset detection area using a laser radar that generates point cloud information by irradiating the detection area with laser light and receiving reflected light resulting from the irradiation with the laser light, includes an acquisition unit configured to acquire the point cloud information, a vehicle detection unit configured to detect a vehicle on the basis of the point cloud information, and a behavior detection unit configured to detect a target behavior that is a vehicle behavior subjected to detection in response to the vehicle detected by the vehicle detection unit having moved from a first area to a second area, in which the first area and the second area are included in the detection area and are set according to the target behavior.
RADAR DETECTOR USING POSITION DETECTION
Provided is a radar detector that aids in management of unimportant sources, dynamically improving handling of such sources based upon previously-stored geographically-referenced information on such sources. The detector determines location of the detector, and compares it to locations of known sources, to improve handling of such detections. The detector may ignore detections received in an area known to contain a stationary source, or may only ignore specific frequencies or handle frequencies differently based upon historic trends of spurious police radar signals at each frequency, or based on geofenced locations. GPS is used to establish current physical coordinates. The detector maintains a list of the coordinates of known stationary source offenders and geofence coordinates or boundaries in nonvolatile memory. When a microwave or laser source is detected, it may compare current coordinates to geofence boundaries and/or sources in this list. Notification varies depending on the stored information and current operating modes.
RADAR DETECTOR USING POSITION DETECTION
Provided is a radar detector that aids in management of unimportant sources, dynamically improving handling of such sources based upon previously-stored geographically-referenced information on such sources. The detector determines location of the detector, and compares it to locations of known sources, to improve handling of such detections. The detector may ignore detections received in an area known to contain a stationary source, or may only ignore specific frequencies or handle frequencies differently based upon historic trends of spurious police radar signals at each frequency, or based on geofenced locations. GPS is used to establish current physical coordinates. The detector maintains a list of the coordinates of known stationary source offenders and geofence coordinates or boundaries in nonvolatile memory. When a microwave or laser source is detected, it may compare current coordinates to geofence boundaries and/or sources in this list. Notification varies depending on the stored information and current operating modes.
High probability of intercept radar detector
Detecting continuous wave police radar includes receiving an input signal from a first antenna, the input signal comprising a continuous wave emission within at least one radar band; sweeping a composite local oscillator signal through a range of frequencies from a first frequency to a second frequency in a predetermined time period so that the composite local oscillator signal has a first chirp rate with a first chirp rate magnitude of between 0.15 MHz/s and 3.5 MHz/s or even higher; and mixing the input signal from the first antenna with the sweeping composite local oscillator signal to produce an output signal having an intermediate frequency. A next step can include determining that the input signal from the first antenna includes a police radar signal based on the output signal.