Using transmitters and receivers for detecting occupants in a vehicle, and classifying those occupants according to the geometry of the vehicle, where sets of complex values associated with voxels in a predetermined region of the vehicle are converted into 3D complex images, where clusters of voxels in the 3D complex images are analyzed to determine presence of occupants, and where positions of seats may determine which seats in the vehicle are occupied.

The present application relates to active sensors for vehicles to detect possible obstacles. The application teaches an obstacle detection system for a host vehicle which includes: (a) a vehicle navigation system comprising: (a) a vehicle trajectory detector, (b) a geolocator circuit, and (c) a clock output; (b) an energy emitting type sensor (active sensor) to transmit energy (Tx Signal) towards a direction in a field of view of said active sensor and to receives a Tx Signal reflection (Rx Signal) reflected off of objects present within the field of view, wherein the field of view is directed towards a front of the host vehicle and said active sensor is digitally configurable to operate according to at least two different operating regimes; and (c) an active sensor controller configured to select an operating regime for said digitally configurable active sensor based on a ruleset which factors one or more navigation system outputs provided by said vehicle navigation system.

Methods and systems for detecting and passively monitoring communication of an unmanned aerial vehicle are disclosed. In an example method, a radio frequency spectrum is scanned to detect one or more radio signals transmitted within a pre-defined area. A modulated radio signal of interest from the one or more radio signals is determined. The radio signal of interest is associated with a drone. The radio signal of interest is captured. The radio signal of interest is demodulated to determine coded sensor data carried by the radio signal of interest. The sensor data is determined by the drone. The coded sensor data is decoded to determine a characteristic of the sensor data. An alert is generated based on the characteristic of the sensor data.

A radar sensing system for a vehicle includes a transmitter configured for installation and use on a vehicle and able to transmit radio signals. The radar sensing system also includes a receiver and a processor. The receiver is configured for installation and use on the vehicle and is able to receive radio signals that include transmitted radio signals reflected from objects in the environment. The processor samples the received radio signals to produce a sampled stream. The processor processes the sampled stream such that the sampled stream is correlated with various delayed versions of a baseband signal. The correlations are used to determine an improved range, velocity, and angle of targets in the environment.

A Wireless Local-Area Network (WLAN) access point includes a WLAN transmitter, a WLAN receiver, and a processor. The WLAN transmitter is configured to transmit WLAN packets via one or more transmit antennas, and to send a timing-synchronization signal over an internal interface. The WLAN receiver is configured to receive, via one or more receive antennas, echo packets including reflections from an object of a selected subset of the WLAN packets transmitted by the WLAN transmitter, to receive the timing-synchronization signal from the WLAN transmitter over the internal interface, and to time-synchronize the echo packets and the corresponding WLAN packets using the timing-synchronization signal. The processor is configured to estimate one or more parameters of the object based on the time-synchronized echo packets and WLAN packets, and to output the estimated parameters to a user.

An object recognition method and an electronic device thereof are provided. The method includes transmitting a signal to an external object, controlling a wireless communication module to receive a signal reflected from the external object, controlling the wireless communication module to obtain a channel impulse response based on the transmitted signal and the received signal, obtaining information of an orientation of the external object based on the received signal, detecting phase noise caused by a movement of the electronic device, extracting a component matching the orientation of the external object from the detected phase noise, and compensating for phase information in the channel impulse response based on the component matching the orientation of the external object.

A method for adjusting the length of a Golay sequence for object recognition and an electronic device therefor are provided. The method for operating the electronic device includes estimating a predicted distance to an external object, determining, based on the estimated predicted distance, the length of a Golay sequence included in a signal for recognizing the external object, and transmitting at least one signal including a Golay sequence having the determined length, and when a device for wireless communication, included in the electronic device, is utilized to perform a radar function, the length of a Golay sequence is adjusted to enable object recognition as much as a length required according to the use of an application, such that recognition efficiency and data communication efficiency can be optimally provided.

The technology described in this document can be embodied in a radar system that employs pulse compression waveforms. In one aspect, a radar system includes a transmitter device and a receiver device, which are both configured to access a storage device. The storage device is configured to store a first sequence of values and a second sequence of values. The first sequence of values can represent phase values for a transmit waveform. The second sequence of values can represent complex values for a filter waveform. The first and second sequences of values are generated via a joint optimization process. An objective function of the first and second sequences is a weighted sum of metrics indicative of a sidelobe level of a simulated range response and frequency suppression of the transmit and filter waveforms outside and portions inside of a target bandwidth.

A MIMO radar apparatus using correlated motion decomposed from reflectance data of multiple time frames to enhance discriminatory capacity in imaging. The MIMO radar apparatus includes power saving measures and has application in tracking temporal patterns of respiratory and cardiac activities in addition to recognition of targets within non-stationary environments.

An object detection device includes: a transmission unit transmitting a first transmission wave; a reception unit receiving a first reception wave reflected by an object; a signal processing unit sampling a first processing target signal according to the first reception wave and acquiring a difference signal based on a difference between the first processing target signal for at least one sample at a certain detection timing, and the first processing target signal for a plurality of samples in at least one of first and second periods; a threshold setting unit setting a threshold as a comparison target with the value of the difference signal, based on variation in the values of the first processing target signal for the plurality of samples; and a detection unit detecting information about the object at the detection timing based on a comparison result between the value of the difference signal and the threshold.