A method and electronic device for object detection. The electronic device includes at least a first antenna pair comprising a first transmitter antenna configured to transmit signals and a first receiver antenna configured to receive signals, a memory, and a processor. The processor is configured to control the first transmitter antenna to transmit a first signal, generate a channel impulse response (CIR) based on receiving, by the first receiver antenna, a reflection of the first signal, determine a location of at least one leakage peak in the CIR, compare a first segment of taps in the CIR prior to the at least one leakage peak with a second segment of taps in the CIR after the leakage peak, and determine an object is present based on symmetry between the first and second segments of taps.

A six-port self-injection-locked (SIL) radar includes an oscillation element, an antenna element, a six-port frequency demodulation element and a signal processing element. Because of a coupler and a phase shifter of the six-port frequency demodulation element, the signal processing element can extract vibration information of subject by using only two demodulated signals output from the six-port frequency demodulation element. As a result, the operation frequency of the six-port SIL radar is not limited by hardware architecture, and the hardware costs and the power consumption are also reduced.

A six-port self-injection-locked (SIL) radar includes an oscillation element, an antenna element, a six-port frequency demodulation element and a signal processing element. Because of a coupler and a phase shifter of the six-port frequency demodulation element, the signal processing element can extract vibration information of subject by using only two demodulated signals output from the six-port frequency demodulation element. As a result, the operation frequency of the six-port SIL radar is not limited by hardware architecture, and the hardware costs and the power consumption are also reduced.

An e-commerce business model has witnessed several cases where packages with faulty goods, returned by buyers, without procured object, rather replaced by different device. This disclosure relates a method to detect whether object under test a desired object. A plurality of back-scattered signals is received from the object under test occluded by packaging with continuous motion on conveyer based on first antenna-radar combination. The plurality of back-scattered signals is processed by applying four-tap difference filter to obtain motion-filtered data matrix. A low pass filter is applied on the motion-filtered data matrix to obtain enveloped motion-filtered data matrix. A sliding constant false alarm rate is applied on the enveloped motion-filtered data matrix to determine detection threshold value. A check is performed to detect whether the object under test is the desired object based on whether intensity of the plurality back-scattered signals exceeds the detection threshold value.

An e-commerce business model has witnessed several cases where packages with faulty goods, returned by buyers, without procured object, rather replaced by different device. This disclosure relates a method to detect whether object under test a desired object. A plurality of back-scattered signals is received from the object under test occluded by packaging with continuous motion on conveyer based on first antenna-radar combination. The plurality of back-scattered signals is processed by applying four-tap difference filter to obtain motion-filtered data matrix. A low pass filter is applied on the motion-filtered data matrix to obtain enveloped motion-filtered data matrix. A sliding constant false alarm rate is applied on the enveloped motion-filtered data matrix to determine detection threshold value. A check is performed to detect whether the object under test is the desired object based on whether intensity of the plurality back-scattered signals exceeds the detection threshold value.

Disclosed are systems and techniques for extended reality optimizations using radio frequency (RF) sensing. An example method can include obtaining RF sensing data; determining, based on the RF sensing data, reflected paths of one or more reflected RF signals, each reflected RF signal including a reflection of a transmitted signal from one or more objects in physical space; comparing the one or more reflected paths, to a field-of-view (FOV) of an image sensor of the device; and based on the comparison, triggering an action by the device and/or the image sensor.

Disclosed are systems and techniques for extended reality optimizations using radio frequency (RF) sensing. An example method can include obtaining RF sensing data; determining, based on the RF sensing data, reflected paths of one or more reflected RF signals, each reflected RF signal including a reflection of a transmitted signal from one or more objects in physical space; comparing the one or more reflected paths, to a field-of-view (FOV) of an image sensor of the device; and based on the comparison, triggering an action by the device and/or the image sensor.

A system to detect an occupant left in a vehicle includes a sensor, a determiner, and a controller. The sensor outputs a radio wave and detects a wave reflected by the occupant being left in the compartment. The determiner determines whether the occupant is left in the compartment, at least based on a detection result from the detected reflected wave. The controller selects a radio wave to be output from the sensor from those of different frequencies including a first radio wave a second radio wave lower in frequency than the first radio wave. The controller is configured to switch from the first radio wave to the second radio wave when the occupant is leaving the vehicle, and cause the determiner to determine whether the occupant is left, based on a detection result from the reflected wave detected by the sensor which output the second radio wave.

A system to detect an occupant left in a vehicle includes a sensor, a determiner, and a controller. The sensor outputs a radio wave and detects a wave reflected by the occupant being left in the compartment. The determiner determines whether the occupant is left in the compartment, at least based on a detection result from the detected reflected wave. The controller selects a radio wave to be output from the sensor from those of different frequencies including a first radio wave a second radio wave lower in frequency than the first radio wave. The controller is configured to switch from the first radio wave to the second radio wave when the occupant is leaving the vehicle, and cause the determiner to determine whether the occupant is left, based on a detection result from the reflected wave detected by the sensor which output the second radio wave.

A vehicle-interior monitoring apparatus for a vehicle includes a millimeter-wave sensor, a determiner, and a movement sensor. The millimeter-wave sensor outputs a millimeter radio wave toward a vehicle cabin of the vehicle and detects a millimeter reflection wave from an in-vehicle object including either one of an occupant and baggage in the vehicle cabin. The determiner determines a type of the in-vehicle object based on a detection level of the detected millimeter reflection wave. The movement sensor detects movement of the vehicle. The determiner re-determines that a determined in-vehicle object is either one of the baggage and a child as the occupant based on a positional change of the determined in-vehicle object upon the movement sensor detecting the movement of the vehicle, the determined in-vehicle object being the in-vehicle object of which the determiner has determined the type based on the detection level of the millimeter reflection wave.