An unmanned aerial vehicle (UAV) having at least one sensor for detecting the presence of a survivor in a search and rescue area. The at least one sensor is preferably an ultra-wide band (UWB) transceiver sensor. The UAV includes a UAV data link transceiver for wirelessly communicating information concerning the survivor to a command center.

A module attachable to a wall to sense motion of a subject on the other side of the wall and to visually indicate the motion to operators on the module's side of the wall, sized for use in tactical operations. Embodiments of the module comprise at least one through-the-wall motion sensor and an indicator, which can include a light source, visible from the outside of the module to indicate the motion of a subject detected by the sensor. Embodiments of the module can optionally include various features, including an enclosure for containing all the components in a single module, electromagnetic shielding material to direct sensing capabilities of the sensors, adhesive for quickly removably securing the module to a wall in tactical operations, additional types of sensors, a microcontroller for controlling various variables in the sensors and light source.

Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode.

An unmanned aerial vehicle (UAV) having at least one sensor for detecting the presence of a survivor in a search and rescue area. The at least one sensor is preferably an ultra-wide band (UWB) transceiver sensor. The UAV includes a UAV data link transceiver for wirelessly communicating information concerning the survivor to a command center.

Provided is a multi-target life detection method based on radar signals. The method includes: performing time accumulation in a slow time direction on a preprocessed echo signal to obtain a first echo signal; performing an envelope extraction of inflection points on the first echo signal to obtain a second echo signal; calculating an average value of all amplitude signals in the second echo signal other than M marked amplitude signals; and in response to a ratio of a marked amplitude signal to the average value being greater than a threshold, determining that a living target exists at a radar detection distance corresponding to the marked amplitude signal. According to the life detection method of the present disclosure, a normalization method is adopted to normalize signal amplitudes of the radar in a dimension of fast time (distance). In addition, two envelope extractions of inflection points may be performed.

An unmanned aerial vehicle (UAV) having at least one sensor for detecting the presence of a survivor in a search and rescue area. The at least one sensor is preferably an ultra-wide band (UWB) transceiver sensor. The UAV includes a UAV data link transceiver for wirelessly communicating information concerning the survivor to a command center.

Various embodiments utilize application-based processing parameters to dynamically configure a radar-based detection system based upon an operating context of an associated device. A first application with execution priority on a device dynamically configures the radar-based detection system to emit a radar field suitable for a first operating context associated with the first application. The first application can also dynamically configure processing parameters of the radar-based detection system, such as digital signal processing parameters and machine-learning parameters. In some cases, a second application assumes execution priority over the first application, and dynamically reconfigures the radar-based detection system to emit a radar field suitable to a second operating context associated with the second application. Alternately or additionally, the second application can dynamically reconfigure the processing parameters of the radar-based detection system based upon the second operating context of the second application.

Methods and systems for determining fluid levels in a tank comprise a mmWave control unit configured to generate and transmit a millimeter wave chirp. The control unit transmits the chirp into the tank through a Luneburg lens and receives one or more chirp reflections from the tank. For each tank level reading, three or more chirp configuration profiles are used in order to ensure accurate depth measurements due to multi-path reflections in most tanks. The control unit mixes the chirps with the chirp reflections to generate a set of responses for each chirp configuration profile. The responses are compared and the two best responses are selected and averaged. The set of averaged responses are then processed using a ballot and vote process to determine the distance reading that is likely to provide the most accurate tank level.

Various examples are provided related to penetrating radar based upon precursors. In one example, a method includes transmitting a radio frequency (RF) signal; and receiving a return signal associated with the RF signal, where the return signal is a precursor having no exponential decay. The precursor can be one of a sequence of precursors, which can be used to improve resolution of the system. The RF signal can be a short pulse generated by an RF front end, without automatic level control. The return signal can be processed without filtering.