Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing angular estimation using machine learning. In particular, a radar system 102 includes an angle-estimation module 504 that employs machine learning to estimate an angular position of one or more objects (e.g., users). By analyzing an irregular shape of the radar system 102's spatial response across a wide field of view, the angle-estimation module 504 can resolve angular ambiguities that may be present based on the angle to the object or based on a design of the radar system 102 to correctly identify the angular position of the object. Using machine-learning techniques, the radar system 102 can achieve a high probability of detection and a low false-alarm rate for a variety of different antenna element spacings and frequencies.

A method for direction finding is described wherein incoming signals are scanned and analyzed. The bearing value and its quality of the incoming signals are determined by using a direction finding method. A covariance matrix is generated from the incoming signals by using a multiple-wave detector unit. The dimension of the covariance matrix is reduced in order to obtain a reduced covariance matrix. The eigenvalues of the reduced covariance matrix are determined. Then, it is determined whether more than one signal, a single signal or no signal is detected by using the eigenvalues and the quality determined by using the direction finding method. Further, a direction finder is described.

A method for direction finding is described wherein incoming signals are scanned and analyzed. The bearing value and its quality of the incoming signals are determined by using a direction finding method. A covariance matrix is generated from the incoming signals by using a multiple-wave detector unit. The dimension of the covariance matrix is reduced in order to obtain a reduced covariance matrix. The eigenvalues of the reduced covariance matrix are determined. Then, it is determined whether more than one signal, a single signal or no signal is detected by using the eigenvalues and the quality determined by using the direction finding method. Further, a direction finder is described.

An autonomous system with no Customer Network Investment is described, wherein the system is configurable to operate on in a band in addition to the LTE band. Such system allows the definition of hybrid operations to accommodate the positioning reference signals (PRS) of LTE and already existing reference signals. The system can operate with PRS, with other reference signals such as cell-specific reference signals (CRS), or with both signal types. As such, the system provides the advantage of allowing network operator(s) to dynamically choose between modes of operation depending on circumstances, such as network throughput and compatibility. The system further enables information collected at a network device to be processed at a locate server without involving any processing at the network device.

An autonomous system with no Customer Network Investment is described, wherein the system is configurable to operate on in a band in addition to the LTE band. Such system allows the definition of hybrid operations to accommodate the positioning reference signals (PRS) of LTE and already existing reference signals. The system can operate with PRS, with other reference signals such as cell-specific reference signals (CRS), or with both signal types. As such, the system provides the advantage of allowing network operator(s) to dynamically choose between modes of operation depending on circumstances, such as network throughput and compatibility. The system further enables information collected at a network device to be processed at a locate server without involving any processing at the network device.

Disclosed is a signal source estimation method and apparatus performing the same, the signal source estimation method including acquiring first reception signals received by first receivers, among signals radiated from signal sources, selecting second receivers receiving reception signals to be used to estimate the signal sources, from among the first receivers based on the first reception signals, and detecting the number of signal sources based on second reception signals received by the second receivers.

A method of remotely controlling access to a resource comprising: transmitting a plurality of signals wherein each signal is transmitted using a different antenna from a plurality of antennas, detecting a received signal at a remote key, performing angle-of-arrival analysis on the received signal; and transmitting an authorisation message from the remote key if the received signal comprises a plurality of signal components with a predetermined characteristic.

A determination of an angle of arrival of radiofrequency (RF) radiation can be made using compressive sensing techniques to inform a receiver portion of a radar system using fewer measurements and samples of the received signal. A method for compressive sensing at an array antenna includes forming a plurality subarrays of array elements from the array antenna such that each subarray includes two or more array elements, capturing data at the plurality of subarrays of array elements, modulating phase properties of the data captured at each of the subarrays, combining the modulated data from each of the plurality of subarrays to form a measurement having phase and magnitude measurements corresponding to the combined modulated data and determining angle of arrival information for the data using the measurement matrix.

A determination of an angle of arrival of radiofrequency (RF) radiation can be made using compressive sensing techniques to inform a receiver portion of a radar system using fewer measurements and samples of the received signal. A method for compressive sensing at an array antenna includes forming a plurality subarrays of array elements from the array antenna such that each subarray includes two or more array elements, capturing data at the plurality of subarrays of array elements, modulating phase properties of the data captured at each of the subarrays, combining the modulated data from each of the plurality of subarrays to form a measurement having phase and magnitude measurements corresponding to the combined modulated data and determining angle of arrival information for the data using the measurement matrix.

The present application is related to a method for detection of a signal, the method comprising the steps of performing continuously a direction finding in time-frequency intervals within a time range and a frequency range, determining for each frequency interval a distribution of the direction finding results, DFRs, for all time intervals and evaluating the determined distribution of direction finding results, DFRs, to detect the existence of a signal emitted by a signal source.