Various exemplary embodiments relate to a method for determining the velocity of an object using radar system having a processor, including: receiving, by a processor, a first digital signal corresponding to a first transmit signal; receiving, by the processor, a second digital signal corresponding to a second transmit signal; processing the first digital signal to produce a first range/relative velocity matrix; detecting objects in the first range/relative velocity matrix to produce a first detection vector; unfolding the first detection vector; processing the second digital signal to produce a second range/relative velocity matrix; interpolating the second range/relative velocity matrix in the relative velocity direction wherein the interpolated second range/relative velocity matrix has a frequency spacing corresponding to the frequency spacing of the first range/relative range velocity matrix in the relative velocity direction; detecting objects in the second range/relative velocity matrix to produce a second detection vector; unfolding the second detection vector; and determining a true velocity of the detected objects based upon the unfolded first and second detection vectors.

An improved circuit configuration is disclosed for calibrating and/or verifying the operation of phase shifters in a phased array radar system. In one illustrative embodiment, a method includes: (i) programming a set of phase shifters to convert a radio frequency signal into a set of channel signals; (ii) splitting off a monitor signal from each channel signal while coupling the set of channel signals to a set of antenna feeds; and (iii) while taking the monitor signals in pairs associated with adjacent channels, measuring a relative phase between each pair of monitor signals.

An improved circuit configuration is disclosed for calibrating and/or verifying the operation of phase shifters in a phased array radar system. In one illustrative embodiment, a method includes: (i) programming a set of phase shifters to convert a radio frequency signal into a set of channel signals; (ii) splitting off a monitor signal from each channel signal while coupling the set of channel signals to a set of antenna feeds; and (iii) while taking the monitor signals in pairs associated with adjacent channels, measuring a relative phase between each pair of monitor signals.

An electronic device includes memory circuitry, interface circuitry, and processor circuitry. The processor circuitry is configured to transmit, to a plurality of electronic reference devices, a first signal, the first signal having a pulse width below a threshold. The processor circuitry is configured to determine, based on the received second signals and at least one predetermined time period, a time of flight of each of the second signals. The processor circuitry is configured to obtain, from the memory circuitry, reference positions of the plurality of electronic reference devices. The processor circuitry is configured to determine, based on the associations, one or more candidate positions of the electronic device. The processor circuitry is configured to determine, based on the distances, the one or more candidate positions, and the obtained reference positions, a position of the electronic device.

A phase Doppler radar system may comprise a pulse Doppler receiver/transmitter (R/T) subsystem coupled with a processing subsystem. The system may determine target velocity and target detection events by collecting pulses from the pulse Doppler R/T subsystem, determine an undifferentiated phase of each of the pulses, differentiate the pulses, and determine a differentiated phase of each of the pulses. The system may perform a linear fit of the differentiated phases of the pulses to produce a slope and an intercept. The system may determine a set of initial estimates of coefficients of a nonlinear fit equation. The system may perform iterations of a nonlinear least squares fit, beginning with the initial coefficient estimates, to produce a non-linear fit result. The system may determine a goodness-of-fit (GoF) statistic associated with the nonlinear fit result, and declare a detection event when the GoF is superior to a GoF statistic associated Gaussian noise.

A phase Doppler radar system may comprise a pulse Doppler receiver/transmitter (R/T) subsystem coupled with a processing subsystem. The system may determine target velocity and target detection events by collecting pulses from the pulse Doppler R/T subsystem, determine an undifferentiated phase of each of the pulses, differentiate the pulses, and determine a differentiated phase of each of the pulses. The system may perform a linear fit of the differentiated phases of the pulses to produce a slope and an intercept. The system may determine a set of initial estimates of coefficients of a nonlinear fit equation. The system may perform iterations of a nonlinear least squares fit, beginning with the initial coefficient estimates, to produce a non-linear fit result. The system may determine a goodness-of-fit (GoF) statistic associated with the nonlinear fit result, and declare a detection event when the GoF is superior to a GoF statistic associated Gaussian noise.

The disclosure discloses a channel combining and time-division processing circuit of a dual-plane pulse Doppler radar seeker. The circuit includes a time-division control circuit configured to receive a time-division control signal, control input of an elevation difference channel signal and an azimuth difference channel signal, combine the elevation difference channel signal and the azimuth difference channel signal and output a combined difference channel signal, and a hybrid bridge circuit configured to receive a sum channel signal, combine channels for the sum channel signal and the combined difference channel signal and output signals on a combined channel. With the circuit of the disclosure, signals received from a sum channel, an azimuth difference channel and an elevation difference channel can be combined into received signals from two channels for processing with one received signal processing channel hardware omitted.

A method for estimating an occupancy level of a geographic area includes transmitting first signals to and receiving second signals from bodies within the geographic area by backscattering of the first signals. The bodies include first bodies permanently within the geographic area and second bodies temporarily within the geographic area. According to the first and second signals, a first map of the first bodies within the geographic area is generated. At a specified time period, following a reference time period, transmission of the first signals, reception of the radio signals and generation of the first map is repeated. According to the first and second signals, a second map of the bodies within the geographic area is generated. A number of the second bodies within the geographic area during the specified time period is determined as the occupancy level based on comparing the first map to the second map.

There is provided an object identification apparatus for identifying a stationary object and a moving object. The object identification apparatus includes a phase difference calculator that calculates phase difference information between a transmission signal and a reception signal obtained by reflecting, by surfaces of the moving object and the stationary object in a space, the transmission signal emitted to the space and receiving the reflected transmission signal, a distance calculator that calculates distance information using the phase difference information, a distance information separator that separates the distance information into moving object distance information as distance information about the moving object and stationary object distance information as distance information about the stationary object, and an identifier that identifies the stationary object and the moving object based on the stationary object distance information and the moving object distance information.

There is provided an object identification apparatus for identifying a stationary object and a moving object. The object identification apparatus includes a phase difference calculator that calculates phase difference information between a transmission signal and a reception signal obtained by reflecting, by surfaces of the moving object and the stationary object in a space, the transmission signal emitted to the space and receiving the reflected transmission signal, a distance calculator that calculates distance information using the phase difference information, a distance information separator that separates the distance information into moving object distance information as distance information about the moving object and stationary object distance information as distance information about the stationary object, and an identifier that identifies the stationary object and the moving object based on the stationary object distance information and the moving object distance information.