A discrete-time, digital filter for notch filtering a complex digital signal, the filter having a transfer function allowing selective filtering of complex signal components. A system for receiving a modulated signal, the system including a processor for adaptively generating filter coefficients of a discrete-time, digital filter, for filtering a complex discrete-time signal, the processor configured to (i.) identify a number of signal samples in a discrete-time signal, and use the signal samples to calculate autocorrelation values sufficient to calculate the filter coefficients, (ii.) solve a system of equations, the system of equations defined by a Toeplitz matrix and a vector to determine the coefficient values, the Toeplitz matrix defined using the autocorrelation values, and the vector defined as the autocorrelation values of a white noise signal.

A discrete-time, digital filter for notch filtering a complex digital signal, the filter having a transfer function allowing selective filtering of complex signal components. A system for receiving a modulated signal, the system including a processor for adaptively generating filter coefficients of a discrete-time, digital filter, for filtering a complex discrete-time signal, the processor configured to (i.) identify a number of signal samples in a discrete-time signal, and use the signal samples to calculate autocorrelation values sufficient to calculate the filter coefficients, (ii.) solve a system of equations, the system of equations defined by a Toeplitz matrix and a vector to determine the coefficient values, the Toeplitz matrix defined using the autocorrelation values, and the vector defined as the autocorrelation values of a white noise signal.

A method and apparatus for selecting frequency modulated continuous wave waveform parameters for multiple radar coexistence by a user equipment is described. The user equipment may transmit a radar waveform consisting of a number of chirps, with each chirp having a same duration. The user equipment may vary waveform parameters of the radar waveform for at least a subset of the number of chirp, where the waveform parameters may be chosen from a codebook comprising at least one codeword of parameters. Reflected radar waveforms are received and processed where the processing includes applying a fast time discrete Fourier transform to reflected radar waveforms to produce a one dimension peak in a time delay dimension for each reflected waveform; and applying a slow time discrete Fourier transform to the reflected radar waveforms, where peaks for the reflected waveforms are added.

A fill level measuring device for determining a fill level of a medium is provided, including a radar module configured to emit a transmission signal and to receive a received signal reflected on the medium, a controller configured to detect, based on the received signal, a measurement signal correlating with the fill level, and including a detector configured to detect a movement signal indicating a movement of the fill level measuring device and/or a position signal indicating a geographic position of the fill level measuring device. The controller includes activation circuitry configured to at least partially activate and/or deactivate the radar module depending on the movement signal and/or on the position signal detected by the detector.

A fill level measuring device for determining a fill level of a medium is provided, including a radar module configured to emit a transmission signal and to receive a received signal reflected on the medium, a controller configured to detect, based on the received signal, a measurement signal correlating with the fill level, and including a detector configured to detect a movement signal indicating a movement of the fill level measuring device and/or a position signal indicating a geographic position of the fill level measuring device. The controller includes activation circuitry configured to at least partially activate and/or deactivate the radar module depending on the movement signal and/or on the position signal detected by the detector.

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.

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 snapshot comprises a plurality of signals is received where each of the plurality of signals reflected from a respective source and received by an antenna array. A first DoA estimator determines, based on the received snapshot, a plurality of DoAs, the plurality of DoAs comprising a respective DoA for each of the plurality of signals. A reliability of the plurality of DoAs is measured. In response to the reliability of the plurality of the DoAs exceeding a threshold, at least one of the plurality of the DoAs determined by the first DoA estimator is output. In response to the reliability of the plurality of the DoAs not exceeding the threshold, a second DoA estimator determines based on the received snapshot a second plurality of DoAs comprising a respective DoA of each of the plurality of signals and outputs at least one of the second plurality of DoAs.

Disclosed herein is a black ice detection system, and more particularly, a system for detecting black ice on roads, which is capable of using a reflector and beamforming array radar installed along a road so as to measure a change in permittivity depending on the change of state of water and ice on the road and to warn of and take an appropriate action with regard to freezing conditions by detecting the same.

In one embodiment, a method includes receiving a first signal associated with a first multipath effect from a first radar installed on a vehicle at a first height, receiving a second signal associated with a second multipath effect from a second radar installed on the vehicle at a second height, wherein the first height and the second height are different, wherein a difference between the first height and the second height is configured to generate a mitigation of the first multipath effect and the second multipath effect, and wherein the first radar and the second radar have an overlapping field of view, and determining that a target exists in the overlapping field of view based on the first signal and the second signal.