A radar sensor system having a defined number of HF components, with each of the HF components having at least one antenna for transmitting and/or receiving of radar waves in each case, and at least one antenna control for operating the at least one antenna; and a synchronization network, which is connected to all HF components and via which an operating frequency of all HF components is able to be synchronized; with a synchronization master according to at least one defined criterion being able to be provided by all HF components.

A radar sensor system having a defined number of HF components, with each of the HF components having at least one antenna for transmitting and/or receiving of radar waves in each case, and at least one antenna control for operating the at least one antenna; and a synchronization network, which is connected to all HF components and via which an operating frequency of all HF components is able to be synchronized; with a synchronization master according to at least one defined criterion being able to be provided by all HF components.

A method for encoding and storing digital data, which include a plurality of real values, in a signal processing unit of a radar sensor. In the method, at least one real value r in an exponential representation in the form r=m.Math.b.sup.−k is stored, where m is a digital mantissa having a length p, b is a base, and k is a positive number that is encoded as a digital number having a length q. The values r for the compressed storage are transformed into an exponential representation in the form r=m*.Math.b.sup.−f(k), where m* is the mantissa and f is a function of k that is selected from multiple functions, and the selection of function f takes place based on a value distribution of the values to be stored.

A subsurface imaging technique using distributed sensors is introduced. Instead of monostatic transceivers employed in conventional ground penetrating radars, the proposed technique utilizes bi-static transceivers to sample the reflected signals from the ground at different positions and create a large two-dimensional aperture for high resolution subsurface imaging. The coherent processing of the samples in the proposed imaging method eliminates the need for large antenna arrays for obtaining high lateral resolution images. In addition, it eliminates the need for sampling on a grid which is a time-consuming task in imaging using ground penetration radar. Imaging results show that the method can provide high-resolution images of the buried targets using only samples of the reflected signals on a circle with the center at the transmitter location.

In a general aspect, a motion detection system detects gestures (e.g., human gestures) and initiates actions in response to the detected gestures. In some aspects, channel information is obtained based on wireless signals transmitted through a space by one or more wireless communication devices. A gesture recognition engine analyzes the channel information to detect a gesture (e.g., a predetermined gesture sequence) in the space. An action to be initiated in response to the detected gesture is identified. An instruction to perform the action is sent to a network-connected device associated with the space.

Methods and devices for estimating a component transmission loss are provided. In an exemplary embodiment, a method includes receiving a desired substrate criterion of a desired substrate, and receiving a desired coating criterion of a desired coating. A component includes the desired substrate and the desired coating. A coating criterion value is received, where the coating criterion value quantifies the desired coating criterion. A desired coating permittivity is estimated for the desired coating, using the coating criterion value, and an estimated component transmission loss of radar signal through the component is produced.

In one embodiment, a method includes determining an operational status of a vehicle including a radar antenna. The operational status is related to autonomous-driving operations of the vehicle in an environment. The method includes determining an expected amount of signaling resources associated with the radar antenna to be utilized by the vehicle while the vehicle performs the autonomous-driving operations, based at least on the operational status of the vehicle and the environment. The method includes determining to switch one or more of the signaling resources associated with the radar antenna from a first mode to a second mode based on the expected amount of signaling resources to be utilized by the radar antenna while the vehicle performs the autonomous-driving operations. The method includes causing the one or more of the signaling resources associated with the radar antenna to switch from the first mode to the second mode.

A pair of radar nodes, each with full azimuthal coverage, cooperate to identify the position of an object without explicit measurements of the object's azimuthal coordinate. A first radar node, operating within a first azimuth field of view (FOV), measures a first elevation angle and a first slant range of the object. A second radar node, operating within a second azimuth FOV, measures a second elevation angle and a second slant range of the object. The second radar node transmits the data to the first radar node, which identifies, based on the first and second azimuth FOVs, an object half space within which the object is located. The first radar node then calculates the position of the object without an ambiguous solution. Alternatively, the first radar uses the first and second azimuth FOVs to identify and reject the ambiguous solution.

A radar including an interface configured to receive a frequency estimation output and a synchronization signal correlation output from a radio communication device; and a processing block configured to use the received frequency estimation output and synchronization signal correlation output for velocity and range estimation.

At least a method for determining risk behavior of a driver is described. While a vehicle is being driven, data is obtained related to the position and movement of a wireless communications device. The data may indicate the type of behavior exhibited by the driver while the vehicle is being driven.