This electronic device comprises a plurality of transmitting antennas installed in a mobile body and a transmission controller configured to control transmitted waves to be transmitted from the plurality of transmitting antennas to form a beam in a predetermined direction. The transmission controller controls the predetermined direction in which the beam is formed according to a steering direction of the mobile body.

An electronic device detects an object reflecting transmitted waves based on transmitted signals transmitted as the transmitted waves from transmitting antennas and received signals received from receiving antennas as reflected waves obtained by reflection of the transmitted waves. The electronic device determines that the object have been detected when the peak in the result obtained by performing a Fourier transform process on the beat signals generated based on the transmitted and received signals is equal to or higher than a predetermined threshold value. The electronic device sets a predetermined threshold value based on an object detection probability.

The invention relates to a source for a reflector antenna, comprising: a pseudo-cavity, a first sigma excitation device for exciting the pseudo-cavity in such a way as to generate a sum channel signal via a coaxial waveguide, a second excitation device for exciting the pseudo-cavity in such a way as to generate a difference channel signal, the second device comprising eight probes angularly distributed around a principal emission axis of the source, and a difference supply circuit for supplying the eight excitation probes according to the two modes TE.sub.21.

In various examples, a radar system includes a logic circuit with an array for processing radar reflection signals. In a specific example, a method includes generating output data indicative of the reflection signals' amplitudes, and discerning angle-of-arrival information for the output data for the output data by correlating the output data with an iteratively-refined estimate of a sparse spectrum support vector (“support vector”). The approach may include: assessing at least one most probable spectrum support vector from among a plurality of most probable spectrum support vectors modeled as random values in a matrix drawn from a long-tail distribution that is controlled as a function of a scaling parameter; and update a set of parameters including a covariance estimate, the scaling parameter, and a noise variance parameter which is being associated with a measurement error for said at least one most probable spectrum support vector from a previous iteration.

A base station may allocate wireless communication resources to configure a synthetic wireless communication signal for use as a radar signal. The synthetic wireless communication signal may be configured according to a wireless communication protocol of a wireless communication network that is associated with the base station. The base station may transmit, from an antenna and toward an area associated with the base station, the synthetic wireless communication signal. The base station may detect a reflected signal that is associated with the synthetic wireless communication signal. The base station may process the reflected signal to generate radar data; and perform an action associated with the radar data and the area.

A method for determining parameters of a finite impulse response pulse compression filter, implemented by a multi-channel radar comprises: a step Etp10 of transmitting a calibration signal and of acquiring this calibration signal after propagation through the transmission channel, a step Etp20 of injecting the signal acquired, at the input of each of the reception channels, a step Etp30 of measuring the signal at the output of each reception channel, a step Etp40 of calculating the transfer function of the matched filters on the basis of the signals at the output of the reception channels, a step Etp50 of measuring the value of the average power at the output of the various reception channels and of calculating the relative gains between each of the reception channels and a predetermined reception channel on the basis of the measured values of average powers.

A radar sensor for use within a vehicle includes blockage detection functionality. In at least one embodiment, the radar sensor collects information on stationary infrastructure around the vehicle. The infrastructure information may be used to generate a Doppler Monopulse Image (DMI) or other graph for the sensor. A clutter ridge within the DMI or other graph may be analyzed determine a blockage condition of the sensor (i.e., unblocked, partially blocked, or fully blocked).

Please make the following amendments to the abstract. Material to be inserted in replacement paragraphs or sections is in bold and underline, and material to be deleted is in and/or in if the deletion would be difficult to see.

This disclosure aims to accurately track a tracking target regardless of a surrounding environment. A tracking processor may be provided, which includes a tracking processing module configured to perform processing of tracking a tracking target, and a congestion degree calculating submodule configured to calculate a degree of congestion of objects located within an area including an estimated position of the tracking target. The tracking processing module may perform the processing of tracking the tracking target based on a value of the congestion degree calculated by the congestion degree calculating submodule.

This document describes techniques and systems of a radar system with paired one-dimensional (1D) and two-dimensional (2D) antenna arrays. Even with fewer antenna elements than a traditional radar system, the paired arrays enable an example radar system to have a comparable angular resolution at a lower cost. For example, the 1D array includes antenna elements positioned in a first direction (e.g., azimuth direction) and spaced by a first distance and a second distance. The 2D array includes at least four other antenna elements positioned in the first direction and a second direction (e.g., elevation direction). The other antenna elements are spaced by a third distance in the second direction and by the sum of the first direction and the second direction in the first direction. A processor can associate, using shared angle estimates, angles in the first direction and the second direction for respective objects.

Example apparatus, systems and methods use a receiver of a first device to receive from a second device, radio frequency (RF) signals. Embodiments use a processor of the first device to determine, based on the RF signals, a set of angle-estimation values of an angle between a plurality of antenna elements of one of the first device and the second device and an antenna element of the other of the first device and the second device, and a set of confidence measurements. Each of the set of confidence measurements indicates a confidence of an angle-estimation value of the set of angle-estimation values.