A method for operating a radar transceiver to reduce a false alarm rate, the method including transmitting by at least one transmitter antenna, one or more frames at a duty cycle, each frame including N segments, each segment including M signal components, wherein the N segments are consecutively transmitted within the frame, receiving, by K receiver antennas, a response signal from a region of interest, ROI, detecting, for each segment, one or more target object reflections in the response signal, assigning, for each segment, a segment weight value to each of the one or more detected target object reflections, wherein a segment weight value corresponds to a likelihood of the associated target object reflection being associated with a false alarm, and filtering the target object reflections over the N segments based on the segment weight values.

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.

An improvement to sensor detection performance is described through use of novel least squares based (or other) sensor measurements fitting, which can significantly improve or increase the sensor Probability of Detection (Pd) while simultaneously improving or decreasing the sensor Probability of False Alarm (Pfa). Instead of just thresholding a scalar magnitude as is done in prior art signal detection methods, the new method seeks to classify time (or space, or spatio-temporal) sequenced Signal measurements from time (or space, or spatio-temporal) sequenced Noise measurements through unique features characteristic of each. The proposed method ma be implemented on most modern Radar Signal Data Processors (SDP) and therefore affords a near term, low cost opportunity to both significantly increase detection and tracking performance and/or enable ready adoption of new additional auxiliary missions currently not possible with resource constrained sensors.

A method for controlling a radar apparatus that detects an object using frequency modulation includes: performing first reception of a radio wave in a state where transmission of a radio wave for detecting the object is stopped, to obtain a first reception signal; performing second reception of a radio wave in a state where the transmission of the radio wave is stopped, to obtain a second reception signal, after the performing of the first reception; acquiring a strength of a difference signal between the first reception signal and the second reception signal; comparing the strength with a threshold value; and starting the transmission of the radio wave in a case where the strength is equal to or less than the first threshold value in the comparison.

A method of determining at least a first interface level of a first interface in a tank containing a stratified substance composition, comprising the steps of generating and transmitting an electromagnetic transmit signal; guiding the transmit signal at least partly through the stratified substance composition; returning an electromagnetic reflection signal resulting from reflection of the transmit signal; receiving, the reflection signal; determining, based on the reflection signal and a timing relation between the reflection signal and the transmit signal, an echo signal exhibiting an echo signal strength as a function of a propagation parameter indicative of position along the probe; and determining, the first interface level based on a first propagation parameter value indicative of a first threshold position for which the echo signal has reached a predetermined first threshold signal strength, and a first offset indicative of a first offset distance from the first threshold position.

An object detection method includes: obtaining a first offset value and a second offset value, setting a first detection threshold value by adding the first offset value to a first reference threshold value, setting a second detection threshold value by adding the second offset value to a second reference threshold value, obtaining a detection input, and performing target detection upon the detection input according to at least the first detection threshold value and the second detection threshold value. The first offset value is different from the second offset value. The first reference threshold value is determined for detecting if at least one object with a first value of an object characteristic exists. The second reference threshold value is determined for detecting if at least one object with a second value of the object characteristic exists. The second value is different from the first value.

A method and electronic device for radar-based face authentication anti-spoofing for determining access to the electronic device. The electronic device includes a radar transceiver and at least one processor. The at least one processor is configured to transmit, via the transceiver, a first set of signals, generate a channel impulse response (CIR) based on receipt of reflections of the first set of signals, detect a first CIR tap in the CIR, determine a selection of CIR data based on the detected first CIR tap, determine a profile matching metric based on comparison of the selection of CIR data to a set of predetermined reference signals, and determine whether to allow access to the electronic device based on comparison of the profile matching metric to a profile matching threshold.

A system for tracking targets. A sequence of sensor observations is processed with two thresholds, including a first threshold, and a second threshold, higher than the first threshold. Signals that exceed the first threshold are identified as low-confidence target detections and stored for possible future use. When a signal exceeds the higher second threshold, it is identified as a high-confidence detection, and one or more candidate tracks are formed, including the high-confidence detection and one or more low-confidence detections from within a neighborhood of the high-confidence detection.

Disclosed herein are systems and methods for action potential-based object detection. Received signals corresponding to multiple chirps can be grouped based on temporal or spatial attributes. Within these groups, successful detections can be identified when at least one signal satisfies an action potential threshold. The presence of a valid object is confirmed when the number of groups with successful detections satisfies a predetermined detection threshold.

A radar level gauge comprising transceiver circuitry configured to obtain a tank signal including a peak representing a surface echo, and at least one peak caused by a ghost echo in a neighborhood of the surface echo. The gauge further includes a tank signal filter receiving the tank signal as input and providing an echo threshold profile, the threshold profile having at least one local maximum substantially coinciding with one of the peaks in the tank signal, and processing circuitry configured to use the echo threshold profile to disregard peaks in the tank signal which are associated with ghost reflections. The filtering of the tank signal thus provides an adaptive threshold, which is aligned with the peak(s) in the tank signal. By using this threshold in the surface echo identification, at least some ghost echoes occurring in the tank signal may be disregarded.