A measurement system comprising a device under test, at least a first antenna and a second antenna, a reflector device, a shielded space and a signal analysis module is disclosed. The first antenna is configured to at least one of generate electromagnetic waves directed to the reflector device and receive electromagnetic waves reflected by the reflector device. The reflector device is configured to reflect electromagnetic waves between the first antenna and the device under test. The second antenna is positioned in a near-field area of the device under test. At least the second antenna is connected to the signal analysis module, and the device under test, the first antenna, the second antenna and the reflector device are assigned to the shielded space. Moreover, a method for operating a measurement system is disclosed.

A local oscillator frequency-based proximity sensor is disclosed. The proximity sensor includes: an integrated circuit having at least a capacitive element; and an antenna designed with an inductive element; wherein the capacitive element and the inductive element form a proximity sensor oscillating at a local oscillator (LO) frequency, wherein the integrated circuit is configured to measure a frequency offset from the LO frequency, wherein the frequency offset is indicative of a detection of a nearby object.

The present disclosure describes techniques and systems for wireless communication via a mobile relay. These techniques may include a user device that determines that a transceiver is unavailable for communicating with a base station via a wireless connection. The user device then uses a mobile relay to communicate with the base station while the transceiver is unavailable. The mobile relay may be used for transmitting or receiving data from the base station. Additionally or alternatively, the mobile relay may participate in the wireless connection as an external resource of the mobile device or may establish an independent wireless connection with the base station.

Disclosed is a system which extends NFC near field communication over a user's skin by converting electromagnetic signals into modulated alternating electric fields and vice versa. A modified patch is attached to an NFC device, which gets energized from its electromagnetic resonance which may contain data. The patch uses the energy to create an alternating electric field which couples into and spreads over a user's skin. The user may approach or touch objects which then get energized by the alternating electric field. The objects have a tag which modulates the electric field with data back over the user's skin to the patch, which then demodulates the data to modulate the NFC communication of the NFC device for further processing.

An antenna array for at least one of generating and receiving a plane wave in a certain distance is described, the antenna array comprising a plurality of antennas which are movable with respect to each other. The antenna array is configured such that plane waves are at least one of generated and received in the near field of the antenna array. Further, a test system and a method for testing a device under test are described.

Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

An integrated circuit includes a bi-directional signal transmission pin connected to a sensing electrode of a salinity sensor, an RF interface which generates operating voltages on the basis of an RF signal received through an antenna, different types of driving signal generators having a structure in which each output terminal is connected to the pin, different types of analog-to-digital converters having a structure in which each input terminal is connected to the pin, and a microcontroller unit which generates a first control signal and a second control signal according to a type of the salinity sensor, in which one of the different types of driving signal generators is enabled based on the first control signal, one of the different types of analog-to-digital converters is enabled based on the second control signal, and the operating voltages are supplied to an enabled signal generator and an enabled analog-to-digital converter.

A charging system for an Implantable Medical Device (IMD) is disclosed having a charging coil and one or more sense coils. The charging coil and one or more sense coils are preferably housed in a charging coil assembly coupled to an electronics module by a cable. The charging coil is preferably a wire winding, while the one or more sense coils are concentric with the charging coil and preferably formed in one or more traces of a circuit board. The magnitude of one or more voltages induced on the one or more sense coils can be measured to determine the position of the charging coil relative to the IMD, and in particular whether the charging coil is (i) centered, (ii) not centered but not misaligned, or (iii) misaligned, with respect to the IMD being charged, which three conditions sequentially comprise lower coupling between the charging coil and the IMD.

The invention relates to a bicycle including a frame with a fork, the fork having dropouts between which a wheel axle is mounted. The wheel axle includes a sensor and/or an electric component arranged to be connected to a control element. A detachable electric connection is provided between the sensor and/or electric component and the control element. The detachable electric connection is positioned between the wheel axle and the thru-axle.

A method and a system for detecting faulty devices are provided. The method comprises the steps of gathering test data in near field with respect to a device under test, extrapolating the test data to far field conditions with the aid of at least one machine learning technique, and evaluating a far field performance of the device under test on the basis of the far field conditions.