A system and method characterizes the height of targets in an environment around a vehicle. Signals are transmitted into the environment and return signals are received to determine a track corresponding to a target. For each track, bins are generated, each bin corresponding to a segment of the range, the segments having a gradually increasing size between the minimum range and maximum range. Range and magnitude values of the received return signals are determined for a selected track. A plurality of filled bins are determined, filled bins indicating that a return signal within the selected track has a range value falling within the segment corresponding to said bin. When the number of filled bins exceeds a set threshold, the return signals having range values within the segments corresponding to the filled bins are analyzed to characterize a height of the target.

Disclosed are techniques for wireless sensing. In an aspect, a user equipment (UE) measures at least a line-of-sight (LOS) path and a non-line-of-sight (NLOS) path of a first downlink positioning reference signal (DL-PRS) from a first transmission-reception point (TRP), measures at least an LOS path and an NLOS path of a second DL-PRS from a second TRP, measures at least an LOS path and an NLOS path of a third DL-PRS from a third TRP, and enables a location of a non-participating target object to be determined based, at least in part, on reference signal time difference (RSTD) measurements between a time of arrival (ToA) of the LOS path of the first DL-PRS and the ToAs of the NLOS paths of the first, second, and third DL-PRS. In an aspect, the non-participating target object does not participate in determining its own location.

Disclosed are techniques for environment sensing. In an aspect, a first network node measures one or more first reference signals on a first carrier frequency, the one or more first reference signals received from a second network node to enable determination of one or more first characteristics associated with one or more target objects, and measures one or more second reference signals on a second carrier frequency, the one or more second reference signals received from the second network node to enable determination of one or more second characteristics associated with the one or more target objects, wherein an accuracy of the one or more second characteristics is higher than an accuracy of the one or more first characteristics based on the one or more first reference signals being measured on the first carrier frequency and the one or more second reference signals being measured on the second carrier frequency.

In a position estimation processing unit, by using the reflected wave signal of an array composed of receiving antennas arranged in a first direction among a plurality of receiving antennas, a maximum likelihood value extraction unit extracts the angle of arrival of a reflected wave signal in a first direction. An angle spread detection unit detects the angle spread in the first direction around the angle of arrival by using the reflected wave signal of the array. A target height estimation unit estimates the position of the target in the first direction by using the angle of arrival and the angle spread.

Bi-static radio-based object location detection can include determining, by a wireless device, a location of a remote wireless device; obtaining a ToF and an angle of arrival (AoA) of a reflected WWAN reference signal reflected by a remote object; and determining a location of the remote object based on the location of the remote wireless device, the ToF, and the AoA. In another example, a wireless device includes a wireless transceiver; a non-transitory computer-readable medium; and a processor communicatively coupled to the wireless transceiver and non-transitory computer-readable medium, the processor configured to determine a location of a remote wireless device; obtain a ToF and an angle of arrival (AoA) of a reflected WWAN reference signal reflected by a remote object; and determine a location of the remote object based on the location of the remote wireless device, the ToF, and the AoA.

The invention relates to a method for object classification which comprises the following steps for providing an elliptically or circularly polarized transmission signal which is transmitted to the object to be classified: generating a first radar image from the copolarly polarized reflection signal and generating a second radar image from the cross-polarized reflection signal and comparing the first radar image with the second radar image.

A method for launching a round from an airborne platform, receiving a plurality of RF signals at the round, determining an amount of time between a first and second received RF signal, where the second signal is a multi-path signal and the first signal is a direct path signal. An altitude of the round is determined based on the delay between the first and second received signal and aligning the round's flight path with an initial velocity vector of the aircraft platform to reduce dispersion. The round can include a plurality of sensors for detecting the RF signals. The second received RF signal may be a multi-path signal having been reflected off of the earth's surface or another object on the earth's surface. The altitude of the round can be determined using the known altitude of the airborne platform, the delay of time between the first and second received signals, and the speed of light.

Ghost Object Identification For Automobile Radar Tracking A method of classifying an object detected by a radar device (R) includes identifying two dynamic objects (O) and one stationary object from sensor data detected by at least one sensor; determining a plurality of confidences based on a comparison of the separation distance between each object and a range of each object to the sensor. The method also determining a highest confidence value among them; comparing the highest confidence to a p re-defined threshold; and increasing a corresponding ghost probability, when the highest confidence value is higher than a predetermined threshold or decreasing the corresponding ghost probability, when the highest confidence value is not higher than the predetermined threshold. The method also includes marking the object as a ghost object when a probability of a less confident object is higher than an upper threshold and setting a ghost probability to zero when the less confident object is lower than a lower threshold.

A sensor which is configured to transmit electromagnetic waves towards a target, wherein the sensor is operable to detect, in response to the electromagnetic waves, first electromagnetic waves reflected by the target towards the sensor, second electromagnetic waves received by at least one redirecting device from the target and redirected by the redirecting device towards the sensor, wherein the first and second electromagnetic waves are usable to determine data representative of at least one of a position and a velocity of the target.

The present disclosure provides a vehicle control apparatus and a vehicle control method comprising a radar for receiving radar signals transmitted from outside the vehicle and reflected from objects around the vehicle and processing the received radar signals to obtain detection data for the objects, and a controller for determining a stationary object among the objects based on the detection data, extracting feature points, determining whether the stationary object is a guardrail based on the extracted feature points, and determining a false target among the objects based on the guardrail. According to the present disclosure, it is possible to prevent the unrecognition or misrecognition of the control targets due to the guardrail.