Disclosed in the present invention is a two-dimensional direction-of-arrival estimation method for a coprime surface array based on virtual domain tensor filling, which mainly solves the problems of the loss of multi-dimensional signal structural information and the inability to fully utilize virtual domain statistics in the existing method. The steps thereof are as follows: constructing a coprime surface array; modeling a tensor of a received signal of the coprime surface array; constructing an augmented non-continuous virtual surface array based on cross-correlation tensor transformation of the coprime surface array; deriving a virtual domain tensor based on mirror extension of the non-continuous virtual surface array; dispersing contiguous missing elements by reconstructing the virtual domain tensor; filling the virtual domain tensor based on the minimization of a tensor kernel norm; and decomposing a filled virtual domain tensor to obtain a direction-of-arrival estimation result.

A device for estimating a fixed position of a wireless communication is provided. The device comprises a radio connected to an antenna array, a memory and a process. The radio can receive a first signal transmitted from a first direction by the wireless communication device to the movable device, and a second signal transmitted from a second direction by the wireless communication device to the movable device. The processor can calculate a first angle of arrival (AOA) a second AOA. The processor can estimate the fixed position of the wireless communication device based on the first AOA, the second AOA, the first position and the second position.

A device for estimating a fixed position of a wireless communication is provided. The device comprises a radio connected to an antenna array, a memory and a process. The radio can receive a first signal transmitted from a first direction by the wireless communication device to the movable device, and a second signal transmitted from a second direction by the wireless communication device to the movable device. The processor can calculate a first angle of arrival (AOA) a second AOA. The processor can estimate the fixed position of the wireless communication device based on the first AOA, the second AOA, the first position and the second position.

The present disclosure provides a method for controlling a non-UWB device by using a UWB. A method of a first UWB device, of the present disclosure, may comprise the steps of: identifying the location of a non-UWB device based on the location of a second UWB device on the basis of the UWB ranging between the first UWB device and the second UWB device; and recognizing the non-UWB device on the basis of the pointing direction of the first UWB device and the identified location of the non-UWB device.

Apparatus for processing a voice radio signal with a transcription unit configured to convert the voice radio signal into a text signal; an object determination unit configured to determine an object from which the voice radio signal originates; an object localization unit configured to determine position information of the object from which the voice radio signal originates; and an output unit configured to allocate the text signal to the object and to provide the same. The object determination unit is configured to determine a detection probability for at least one object whose position at least partly matches the determined position information. The object determination unit is configured to determine the object with the highest detection probability as the object from which the voice radio signal originates, or, with a very similar detection probability, to determine all objects with the similar detection probability as the object.

Apparatus for processing a voice radio signal with a transcription unit configured to convert the voice radio signal into a text signal; an object determination unit configured to determine an object from which the voice radio signal originates; an object localization unit configured to determine position information of the object from which the voice radio signal originates; and an output unit configured to allocate the text signal to the object and to provide the same. The object determination unit is configured to determine a detection probability for at least one object whose position at least partly matches the determined position information. The object determination unit is configured to determine the object with the highest detection probability as the object from which the voice radio signal originates, or, with a very similar detection probability, to determine all objects with the similar detection probability as the object.

Systems and methods are disclosed herein which facilitate generating and utilizing look-up tables for determining an AoA of a radar signal received from an emitter. In example embodiments, the systems and methods may involve a selectivity process for selecting, for each of a plurality of installation positions, an installation-representative antenna pattern as selected from an option set. Thus, the selectivity process may, for example, include indexing a plurality of data sets of antenna patterns associated with an antenna position and selecting a most representative data set from at least one of the indexed data sets. In some embodiments, the system and methods may further apply a compression algorithm which identifies changes in slope with respect to adjacent pairs of antenna positions (vertex pairs) in the look-up table. The algorithm may then discard any antenna position (any vertex) that does not meet a slope difference threshold with respect to changes in the slope.

Systems and methods are disclosed herein which facilitate generating and utilizing look-up tables for determining an AoA of a radar signal received from an emitter. In example embodiments, the systems and methods may involve a selectivity process for selecting, for each of a plurality of installation positions, an installation-representative antenna pattern as selected from an option set. Thus, the selectivity process may, for example, include indexing a plurality of data sets of antenna patterns associated with an antenna position and selecting a most representative data set from at least one of the indexed data sets. In some embodiments, the system and methods may further apply a compression algorithm which identifies changes in slope with respect to adjacent pairs of antenna positions (vertex pairs) in the look-up table. The algorithm may then discard any antenna position (any vertex) that does not meet a slope difference threshold with respect to changes in the slope.

An antenna apparatus for use in a wireless network and method of operating such an antenna apparatus are provided. A wireless network controller provides a configuration of such an antenna apparatus, a method of operating such a wireless network controller, and a resulting wireless network. The antenna apparatus comprises a directional antenna and a uniform circular antenna array. The directional antenna can be rotatably positioned about an axis with respect to a fixed mounting portion of the apparatus in dependence on wireless signals received by the antenna array. The antenna array allows the antenna apparatus to receive wireless signals isotropically and thus to accurately monitor the wireless signal environment in which it finds itself. The antenna apparatus can thus monitor and characterize incoming signals, both from external interference sources and from other network nodes, and the directional antenna can then be positioned in rotation to improve the network throughput.

An antenna apparatus for use in a wireless network and method of operating such an antenna apparatus are provided. A wireless network controller provides a configuration of such an antenna apparatus, a method of operating such a wireless network controller, and a resulting wireless network. The antenna apparatus comprises a directional antenna and a uniform circular antenna array. The directional antenna can be rotatably positioned about an axis with respect to a fixed mounting portion of the apparatus in dependence on wireless signals received by the antenna array. The antenna array allows the antenna apparatus to receive wireless signals isotropically and thus to accurately monitor the wireless signal environment in which it finds itself. The antenna apparatus can thus monitor and characterize incoming signals, both from external interference sources and from other network nodes, and the directional antenna can then be positioned in rotation to improve the network throughput.