A method for occupancy detection for at least one vehicle seat, using at least one transmit antenna and a plurality of receive antennas, includes: emitting a detection signal with each transmit antenna onto at least one vehicle seat, which detection signal is a frequency-modulated continuous-wave radar signal, and receiving with each receive antenna a reflected signal; recording sample data representing the reflected signal, the sample data having M channels, with M=N1.Math.N2, where N1 is the number of transmit antennas and N2 is the number of receive antennas; for each channel, removing a component from the sample data that corresponds to a reflection from a static object; and applying a frequency estimation method to the sample data to at least implicitly determine at least one angle of arrival θ.sub.i corresponding to a position of an occupant on a vehicle seat.

A radar ranging method includes: obtaining a first signal, where the first signal is a frequency domain signal obtained after low frequency suppression is performed in a beat frequency signal, and the beat frequency signal is a signal obtained by mixing a transmitted signal transmitted by a frequency modulated continuous wave FMCW radar and a received echo signal; performing mean gradient calculation on the first signal in frequency domain to obtain a second signal; and calculating at least one of a speed or a distance of a target object based on a peak signal in the second signal.

A weather radar system initiates a horizontal scan at a first tilt angle, then adjusts the tilt angle down during an intermediate phase of the horizontal scan, and finally adjust the tilt angle back to the first tilt angle for an end phase of the horizontal scan. The intermediate phase may comprise a fifteen-to-twenty-degree arc centered about a centerline of the weather radar antenna. The radar system may perform test horizontal scans at intervals within a predefined range, each having a different fixed tilt angle to identify tilt angles having desirable signal-to-noise ratio and signal-to-clutter ratio at different phases of the scan. Alternatively, the system may execute a vertical scan and at one or more horizontal positions to identify desirable tilt angles at various phases.

Various arrangements for performing fall detection are presented. A smart-home device (110, 201), comprising a monolithic radar integrated circuit (205), may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person (101) has occurred. Speech may then be output announcing that the fall has been detected via the speaker (217) of the smart home device (110, 201).

Various arrangements for performing ballistocardiography using a mobile device are presented. A radar integrated circuit of a mobile device may emit frequency-modulated continuous-wave (FMCW) radar. Reflected radio waves based on the FMCW radar being reflected off objects may be received and used to create a raw radar waterfall. The raw radar waterfall may be analyzed to create a ballistocardiography waveform. Data based on the ballistocardiography waveform may be output, such as to a machine-learning application installed on the mobile device.

A tracking method and system includes receiving a primary radar report after establishment of a real track of the aircraft, determining a false track slant range associated with the aircraft based on an effective altitude of the aircraft above a ground or water surface and an aircraft slant range defined between the radar arranged on the ground surface and the aircraft, determining a capture area based on the false track slant range and an azimuth of the aircraft, and determining whether the primary radar report is a false report by comparing a position of the aircraft determined from the primary radar report to the capture area.

A handling device (103) for loads (105) includes a radar transmitter (107), a radar sensor (111) and a data-processing device. The radar transmitter (107) is configured to irradiate at least part of the handling device (103) and/or the load (105). The radar sensor (111) is configured to detect at least part of the irradiated handling device (103) and/or the irradiated load (105). The data-processing device is configured to determine the position of at least part of the handling device (103) and/or the load 105) with reference to a signal from the radar sensor (111). At least a part (405) of the handling device (103) is radar-absorbing.

A method for estimating noise in a radar sensor, which generates a digital spectrum which indicates a received signal strength as a function of at least one discrete locating parameter, and on this spectrum a CFAR detection is carried out to decide whether an examined cell in the locating space contains a genuine radar target or just noise and a determination of a noise level is also carried out on the basis of the signal strengths in a selection of neighboring cells in the vicinity of the examined cell. The CFAR detection precedes the determination of the noise level and cells identified in the CFAR detection as target cells are excluded from the selection of the neighboring cells.

A vehicle passenger detection device, a system including the same, and a method thereof are provided. The vehicle passenger detection device includes a processor configured to determine a location of a passenger per at least one or more seats based on strength of radar signals reflected from the at least one or more seats including medium with different reflection characteristics and a storage storing information associated with strength of a radar signal for each distance and information associated with strength of a radar signal according to the reflection characteristics of the medium.

A method of processing radar responses of a radar system characterized by a plurality of beam patterns, to determine if a given response corresponds to a reflective object. The method including, for a first beam pattern, identifying a response at an identified angle relative to a center of the first beam pattern. Then, for a second beam pattern overlapping the first beam pattern, determining if a measured response in the second beam pattern at an angle relative to the center of the second beam pattern that corresponds to the identified angle relative to the center of the first beam pattern is within a predetermined error threshold of an anticipated response calculated using the second beam pattern and the first beam pattern. If the measured response in the second beam pattern is not within the predetermined error threshold, the first response is eliminated from display and/or further tracking.