A spatially-distributed architecture (SDA) of antennas transmits respective uniquely coded signals. A first receiver having a known position in a coordinate system defined by the SDA receives reflected versions of the uniquely coded signals. A first processor receives the reflected versions of the uniquely coded signals and identifies a position of a non-cooperative object in the coordinate system. A platform with a platform receiver receives non-reflected versions of the uniquely coded signals. The platform determines a position of the platform in the coordinate system. In an example, the platform uses a self-determined position and a position of the non-cooperative object communicated from the SDA to navigate or guide the platform relative to the non-cooperative object. In another example, the platform uses a self-determined position and information from an alternative signal source in a second coordinate system to guide the platform. Guidance solutions may be generated in either coordinate system.

Transmitting-receiving devices, such as within a radar system, can use a clock generator from which various higher-frequency signals are derived. For example, respective transmitting-receiving devices can include high-frequency (HF) generators. The present subject matter concerns a system and a method for providing measurement signals having increased coherence as compared with signals originally transmitted by the transmitting-receiving devices. Such measurement signals can be exchanged for synchronization. Increased coherence can enhance overall system performance, such as to assist in separating returns associated with weaker targets from those associated with stronger targets, or to provide enhanced angular resolution, as illustrative examples.

Apparatus and methods are presented for characterising the environment of a user platform. In certain embodiments RF signals are transmitted and received through an antenna array having a plurality of elements activated in a predetermined sequence, and received signals are manipulated with round-trip path corrections to enhance the gain of the array in one or more directions. Objects in those directions are detected from the receipt of returns of transmitted signals, and the manipulated received signals processed to estimate range to those objects. In other embodiments RF signals transmitted by one or more external transmitters are received and manipulated to enhance the gain of a local antenna array or antenna arrays associated with the one or more transmitters to enhance the gain of the arrays in one or more directions. Objects in those directions are detected from the receipt of reflected signals from the transmitters, and the manipulated received signals processed to estimate range to those objects.

A proximity radar method for a rotary-wing aircraft includes a sequence of phases T(k) of steps. In a first phase T(1), the electronic computer of the radar system computes unambiguous synthetic patterns on the basis of a first activated interferometric pattern M(1) of N unitary radiating groups. In the following phases T(k) of steps, executed successively in increasing order of k, the electronic computer computes synthetic patterns on the basis of interferometric patterns M(k) of rank k, wherein the N unitary radiating groups of a series deviate simultaneously in terms of azimuth and in terms of elevation as k increases, and establishes maps of rank k of the surroundings in terms of azimuth distance/direction and/or elevation distance/direction cells wherein the detected obstacle ambiguities, associated with the network lobes, are removed by virtue of the map(s) provided in the preceding phase or phases.

According to one embodiment, an antenna device includes a first transmission array antenna including transmission antennas of a first number, arranged with a first distance in a first direction, a first reception array antenna including reception antennas of a second number, arranged with a second distance in a first direction or a second direction which is parallel to the first direction, a second transmission array antenna including transmission antennas of a third number, arranged with the first distance in the first direction, and a second reception array antenna including reception antennas of a fourth number, arranged with the second distance in the first direction or the second direction.

Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

A system and method provide remote tracking of progress at construction sites. When possible, the progress can be monitored remotely via satellite imagery. But once satellite imagery cannot determine the progress that needs to be monitored at the construction site, multiple unmanned aerial vehicles (UAVs) that use RF emitters and receivers are deployed to the construction site to determine progress based on RF scans. A number and type of UAVs, along with their respective flight plans, are determined from site specifications and expected progress at the construction site. The UAVs are programmed with their respective flight plans, synchronized, then deployed to inspect the construction site using RF scans. The UAVs execute their respective flight plans, with some emitting RF signals and others receiving those emitted RF signals. The UAV RF data is then analyzed and compared to the site specifications to determine the progress at the construction site.

A method for determining reception window timing using a measuring station receiving an antenna beam width, receiving an antenna tilt angle, receiving an altitude A, determining a far projection angle Δf, determining a near projection angle Δn, and determining a far projection range corresponding to the far projection angle Δf and based at least upon the values of Δf and A. The method further includes determining a near projection range corresponding to the near projection angle Δn and based at least upon the values of Δn and A, determining an end time of a reception window based at least upon the value of the far projection range the reception window being a window of time in which a response from the target station is expected to be received, and determining a start time of the reception window based at least upon the value of the near projection range.

An operating method of an electronic apparatus, which is performed using a UWB communication module including a plurality of antennas, includes emitting a UWB transmission signal, receiving a UWB reflection signal reflected from an object, and obtaining three-dimensional information of the object based on the UWB transmission signal and the UWB reflection signal, wherein the plurality of antennas are respectively arranged in a vertical direction and a horizontal direction on a front surface of a display of the electronic apparatus.

Methods, apparatus and systems for wireless monitoring with improved accuracy are described. In one example, a described method comprises: transmitting a wireless signal through a wireless multipath channel of a venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue; receiving the wireless signal through the wireless multipath channel, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the motion; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal; performing a classification of a sliding time window by analyzing channel information (CI) of the TSCI in the sliding time window; computing a motion information (MI) for the sliding time window based on the TSCI and the classification of the sliding time window; and monitoring the motion of the object based on the MI.