Abstract: Systems and methods for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, a method comprises initiating calibration, with processing logic, of at least one component of RF circuitry having a transmit chain and a receive chain of a first wireless node by generating a first loopback calibration signal and passing this first loopback calibration signal through the transmit chain and the receive chain of the first wireless node. The method further includes measuring a first transmit time delay for passing the first loopback calibration signal through the transmit chain and also measuring a first receive time delay for passing the first loopback calibration signal through the receive chain of the first wireless node.

Abstract: Systems, apparatuses, and methods for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, a system for localization of nodes in a wireless network architecture comprises a plurality of wireless anchor nodes each having a known location and a wireless device with one or more processing units and RF circuitry for transmitting and receiving communications in the wireless network architecture and a wireless node having a wireless device with a transmitter and a receiver to enable bi-directional communications with the plurality of wireless anchor nodes in the wireless network architecture. One or more processing units of at least one of the plurality of wireless anchor nodes are configured to execute instructions to determine a set of possible ranges between each anchor node and the wireless node having an unknown location and to perform a triangulation algorithm that iterates through possible locations of the wireless node to minimize error.

Abstract: Systems and methods for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, an asynchronous system includes a first wireless node having a wireless device with one or more processing units and RF circuitry for transmitting and receiving communications in the wireless network architecture including a first RF signal having a first packet. The system also includes a second wireless node having a wireless device with a transmitter and a receiver to enable bi-directional communications with the first wireless node in the wireless network architecture including a second RF signal with a second packet. The one or more processing units of the first wireless node are configured to execute instructions to determine a coarse time of flight estimate of the first and second packets and a fine time estimate of the time of flight using channel information of the first and second wireless nodes.

Abstract: Systems and apparatuses for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, an asynchronous system includes first and second wireless nodes each having a wireless device with one or more processing units and RF circuitry for transmitting and receiving communications in the wireless network architecture. The system also includes a third wireless node having an unknown location and a wireless device with a transmitter and a receiver to enable communications with the first and second wireless nodes in the wireless network architecture.

Abstract: Systems and methods for adaptively determining locations of wireless nodes in a network architecture are disclosed herein. In one example, a system includes a first plurality of wireless sensor nodes each having a known location and a second plurality of wireless sensor nodes each having an unknown location in a wireless network architecture. One or more processing units of a wireless sensor node of the first plurality of wireless nodes are configured to execute instructions to determine distance estimates between the first plurality of wireless sensor nodes and the second plurality of wireless sensor nodes for localization, determine error metric information for each distance estimate, and adaptively select the determined distance estimates for localization based on the error metric information.

Abstract: Systems and apparatuses for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, an asynchronous system includes first and second wireless nodes each having a wireless device with one or more processing units and RF circuitry for transmitting and receiving communications in the wireless network architecture. The system also includes a wireless node having an unknown location and a wireless device with a transmitter and a receiver to enable communications with the first and second third wireless nodes in the wireless network architecture. The first wireless node transmits a communication to the second wireless node and the wireless node having an unknown location, receives a communication with an acknowledge packet from the wireless node, and determines time difference of arrival information between the first and second wireless nodes.

Abstract: Systems and methods for determining locations of wireless sensor nodes in a tree network architecture having mesh-based features are disclosed herein. In one embodiment, a system includes a hub having one or more processing units and RF circuitry for transmitting and receiving communications with sensor nodes to enable bi-directional communications. The one or more processing units of the hub execute instructions to configure the system with a tree architecture for communications between the hub and the sensor nodes, and to configure the system temporarily with a mesh-based architecture for determining location information for the sensor nodes.

Abstract: Systems and methods for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, an asynchronous system includes a first wireless node having a wireless device with one or more processing units and RF circuitry for transmitting and receiving communications in the wireless network architecture including a first RF signal having a first packet. The system also includes a second wireless node having a wireless device with a transmitter and a receiver to enable bi-directional communications with the first wireless node in the wireless network architecture including a second RF signal with a second packet. The one or more processing units of the first wireless node are configured to execute instructions to determine a coarse time of flight estimate of the first and second packets and a fine time estimate of the time of flight using channel information of the first and second wireless nodes.

Abstract: Systems and methods for determining locations of wireless sensor nodes in a network architecture having mesh-based features are disclosed herein. In one example, a computer-implemented method for localization of nodes in a wireless network includes causing, with processing logic of a hub, the wireless network having nodes to be configured as a first network architecture for a first time period for localization. The method further includes determining, with the processing logic of the hub, localization of at least two nodes using at least one of frequency channel overlapping communications, frequency channel stepping communications, multi-channel wide band communications, and ultra-wide band communications for at least one of time of flight and signal strength techniques. The method further includes causing the wireless network to be configured in a second network architecture having narrow-band communications upon completion of localization.

Abstract: Systems and methods for determining locations of wireless sensor nodes in a tree network architecture having mesh-based features are disclosed herein. In one embodiment, a system includes a hub having one or more processing units and RF circuitry for transmitting and receiving communications with sensor nodes to enable bi-directional communications. The one or more processing units of the hub execute instructions to configure the system with a tree architecture for communications between the hub and the sensor nodes, and to configure the system temporarily with a mesh-based architecture for determining location information for the sensor nodes.

Abstract: Systems and methods for determining locations of wireless nodes in a network architecture are disclosed herein. In one example, an asynchronous system includes a first wireless node having a wireless device with one or more processing units and RF circuitry for transmitting and receiving communications in the wireless network architecture including a first RF signal having a first packet. The system also includes a second wireless node having a wireless device with a transmitter and a receiver to enable bi-directional communications with the first wireless node in the wireless network architecture including a second RF signal with a second packet. The first wireless node determines a time of flight estimate for localization based on a time estimate of round trip time of the first and second packets and a time estimate that is based on channel sense information of the first and second wireless nodes.

Abstract: Systems and methods for determining locations of wireless sensor nodes in a tree network architecture having mesh-based features are disclosed herein. In one embodiment, a system includes a hub having one or more processing units and RF circuitry for transmitting and receiving communications with sensor nodes to enable bi-directional communications. The one or more processing units of the hub execute instructions to configure the system with a tree architecture for communications between the hub and the sensor nodes, to detect a change in range or position of at least one sensor node, and to configure the system temporarily with a mesh-based architecture for determining location information for the sensor nodes based on detecting a change in range or position.

Abstract: Systems and methods for determining locations of wireless sensor nodes in a network architecture having mesh-based features are disclosed herein. In one example, a computer-implemented method for localization of nodes in a wireless network includes causing, with processing logic of a hub, the wireless network having nodes to be configured as a first network architecture for a first time period for localization. The method further includes determining, with the processing logic of the hub, localization of at least two nodes using at least one of frequency channel overlapping communications, frequency channel stepping communications, multi-channel wide band communications, and ultra-wide band communications for at least one of time of flight and signal strength techniques. The method further includes causing the wireless network to be configured in a second network architecture having narrow-band communications upon completion of localization.

Abstract: Systems and methods for determining locations of wireless sensor nodes in a tree network architecture having mesh-based features are disclosed herein. In one embodiment, a system includes a hub having one or more processing units and RF circuitry for transmitting and receiving communications with sensor nodes to enable bi-directional communications. The one or more processing units of the hub execute instructions to configure the system with a tree architecture for communications between the hub and the sensor nodes, to detect a change in range or position of at least one sensor node, and to configure the system temporarily with a mesh-based architecture for determining location information for the sensor nodes based on detecting a change in range or position.

Abstract: A technique for tracking changes in bias conditions of a microelectromechanical system (MEMS) device includes applying an electrode bias signal to an electrode of the MEMS device. The technique includes applying a mass bias signal to a mass of the MEMS device suspended from a substrate of the MEMS device. The technique includes generating the mass bias signal based on a target mass-to-electrode bias signal level and a signal level of the electrode bias signal.

Abstract: An apparatus includes a microelectromechanical system (MEMS) device configured as part of an oscillator. The MEMS device includes a mass suspended from a substrate of the MEMS, a first electrode configured to provide a first signal based on a displacement of the mass, and a second electrode configured to receive a second signal based on the first signal. The apparatus includes an amplifier coupled to the first electrode and a first node. The amplifier is configured to generate an output signal, the output signal being based on the first signal and a first gain. The apparatus includes an attenuator configured to attenuate the output signal based on a second gain and provide as the second signal an attenuated version of the output signal.

Abstract: A fractional-N divider supplies a divided clock signal. An adjusted divided clock signal is generated in a digital-to-time converter circuit having a delay linearly proportional to digital quantization errors of the fractional-N divider. The adjusted divided clock signal is generated based on first and second capacitors charging to a predetermined level. The charging of the first and second capacitors is interleaved in alternate periods of the divided clock. The charging of each capacitor with a current corresponding to respective digital quantization errors is interleaved with charging with a fixed current. A first edge of a first pulse of the adjusted divided clock signal is generated in response to the first capacitor charging to a predetermined voltage and a first edge of a next pulse of the adjusted divided clock signal is generated in response to the second capacitor charging to the predetermined voltage.

Abstract: A fractional-N divider supplies a divided clock signal. An adjusted divided clock signal is generated in a digital-to-time converter circuit having a delay linearly proportional to digital quantization errors of the fractional-N divider. The adjusted divided clock signal is generated based on first and second capacitors charging to a predetermined level. The charging of the first and second capacitors is interleaved in alternate periods of the divided clock. The charging of each capacitor with a current corresponding to respective digital quantization errors is interleaved with charging with a fixed current. A first edge of a first pulse of the adjusted divided clock signal is generated in response to the first capacitor charging to a predetermined voltage and a first edge of a next pulse of the adjusted divided clock signal is generated in response to the second capacitor charging to the predetermined voltage.

Abstract: A technique for tracking changes in bias conditions of a microelectromechanical system (MEMS) device includes applying an electrode bias signal to an electrode of the MEMS device. The technique includes applying a mass bias signal to a mass of the MEMS device suspended from a substrate of the MEMS device. The technique includes generating the mass bias signal based on a target mass-to-electrode bias signal level and a signal level of the electrode bias signal.

Abstract: An apparatus and a method for compensating for a mismatch in temperature coefficients of two oscillator frequencies to match a desired frequency ratio between the two oscillator frequencies over a temperature range. In one embodiment of a temperature sensor, first and second oscillators of different temperature characteristics are coupled to a differential frequency discriminator (DFD) circuit. The DFD circuit compensates for the different characteristics in order to match a frequency difference between the first and second frequencies over a temperature range.