Doppler signal processing device for detecting an object according to a received wireless signal. The Doppler signal processing device includes a frequency analysis unit for generating a frequency domain signal vector according to at least one digital signal, an interference suppression unit for performing a suppression operation according to the frequency domain signal vector and a frequency domain interference estimation signal vector to generate an interference suppressed frequency domain signal vector, an interference estimation unit for generating the frequency domain interference estimation signal vector according to the frequency domain signal vector, a detection unit for generating a result signal according to the interference suppressed frequency domain signal vector, an error detection unit for optionally providing an error detection control signal to the interference estimation unit to adjust a rate of updating the frequency domain interference estimation signal vector.

A radar system, apparatus, architecture, and method are provided for generating a mono-static virtual array aperture by using a radar control processing unit to construct a mono-static MIMO virtual array aperture from radar signals transmitted orthogonally from transmit antennas and received at each receive antennas, and to construct a mono-static MIMO forward difference virtual array aperture by performing forward difference co-array processing on the mono-static MIMO virtual array aperture to fill in holes in the mono-static MIMO virtual array aperture, thereby mitigating or suppressing spurious sidelobes caused by gaps or holes in the mono-static MIMO virtual array aperture.

A radar system, apparatus, architecture, and method are provided for generating a mono-static virtual array aperture by using a radar control processing unit to construct a mono-static MIMO virtual array aperture from radar signals transmitted orthogonally from transmit antennas and received at each receive antennas, and to construct a mono-static MIMO forward difference virtual array aperture by performing forward difference co-array processing on the mono-static MIMO virtual array aperture to fill in holes in the mono-static MIMO virtual array aperture, thereby mitigating or suppressing spurious sidelobes caused by gaps or holes in the mono-static MIMO virtual array aperture.

Techniques for updating data operations in a perception system are discussed herein. A vehicle may use a perception system to capture data about an environment proximate to the vehicle. The perception system may receive state data stored in cyclic buffer of globally registered detection and occasionally converted to gridded point cloud in a local reference frame. The two-dimensional gridded point cloud may be processed using one or more neural networks to generate semantic data associated with a scene or physical environment surrounding the vehicle such that the vehicle can make environment aware operational decisions, which may improve reaction time(s) and/or safety outcomes of the autonomous vehicle.

A system and method for detecting a rotary wing aircraft. A return electromagnetic signal, reflected by a rotary wing aircraft, is received through an electromagnetic signal detection apparatus. The aircraft includes a plurality of propeller blades attached to at least one motor. At least one propeller blade has at least one portion with a reflectivity different from other portions. A first time series data of the return electromagnetic signal is received. A second time series data is determined based on the first time series data and a predefined threshold. A characteristic of the second time series data is used to determine whether it corresponds to the known aircraft.

Footwear scanning systems and associated methods are described. According to one aspect, a footwear scanning system includes a base, a shuttle configured to rotate beneath the base, wherein the shuttle comprises an antenna array configured to transmit electromagnetic waves through the base into footwear above the base during the rotation of the shuttle and to receive electromagnetic waves reflected from the footwear during the rotation of the shuttle, a transceiver coupled with the antenna array and configured to apply electrical signals to the antenna array to generate the transmitted electromagnetic waves and to receive electrical signals from the antenna array corresponding to the received electromagnetic waves, and processing circuitry configured to process an output of the transceiver corresponding to the received electromagnetic waves to provide information regarding contents within the footwear.

The present invention relates to a method of effectively removing various vibration noises using microwave Doppler radar, and an apparatus therefor. The method comprises the steps of: (a) generating and transmitting an oscillation frequency to a dynamic target, and receiving a signal reflected from the dynamic target and various signals generated around the dynamic target; (b) generating a Doppler IF signal from each of n received signals; (c) converting each Doppler IF signal into digital data; (d) configuring digital signals into a data set, and converting the data set into a frequency component symbol set; (e) calculating a value by adding index symbols and dividing by n reception antennas; and (f) classifying deviation between spectrum components of a commonly-generated periodic signal and an uncommon aperiodic signal, and obtaining only a periodic signal through filtering. The present invention can improve accuracy of sensing a biometric signal.

A method is provided for training a machine-learning algorithm which relies on primary data captured by at least one primary sensor. Labels are identified based on auxiliary data provided by at least one auxiliary sensor. A care attribute or a no-care attribute is assigned to each label by determining a perception capability of the primary sensor for the label based on the primary data and based on the auxiliary data. Model predictions for the labels are generated via the machine-learning algorithm. A loss function is defined for the model predictions. Negative contributions to the loss function are permitted for all labels. Positive contributions to the loss function are permitted for labels having a care attribute, while positive contributions to the loss function for labels having a no-care attribute are permitted only if a confidence of the model prediction for the respective label is greater than a threshold.

A vehicle-interior monitoring apparatus for a vehicle includes a sensor and a determiner. The sensor is configured to output a millimeter radio wave toward a vehicle cabin of the vehicle and detect a millimeter reflection wave from an in-vehicle object including an occupant in the vehicle cabin of the vehicle and baggage in the vehicle cabin of the vehicle. The determiner is configured to determine a type of the in-vehicle object in the vehicle cabin of the vehicle based on a detection level of the millimeter reflection wave detected by the sensor. The determiner is configured to perform a determination, the determination including determining that the in-vehicle object is either one of a child as the occupant or the baggage based on a tendency of a change in the detection level of the millimeter reflection wave detected by the sensor.

A vehicle includes a processor, a memory having instructions, and an output device. The instructions, when executed by the processor, cause the vehicle to perform operations including: detecting a boundary line of the lane on which the vehicle is running; estimating a center position of the lane on which the vehicle is running on the basis of the detected boundary line; calculating an offset indicating a displacement in a vehicle width direction from the center position of the lane in accordance with the estimated center position of the lane and a vehicle width such that the offset varies dynamically; performing a steering control in the vehicle width direction on the basis of the offset; and generating notification information for announcing a content of the steering control.