L3 Technologies, Inc.

L3harris Technologies, Inc.

S&c Electric Company

Jason Wilden

Brent A Kenney

Thomas R Giallorenzi

Radivoje Zarubica

Phillip M Hirz

Philip M Hirz

Matthew J Reimann

Brian J Thorp

Jefferson Dean Lexa

Edwin J Hemphill

N Thomas Nelson

Patrick L Newbold

Andrew L Nelson

Chad S Komer

Mark Steven Geoghegan

Daniel Paul Engel

Multivariate position estimation can be performed to provide a position estimate of a moving object. The multivariate position estimation approach can employ multiple types of information including time of arrival (or time difference of arrival), angle of arrival, Doppler, and/or prior location information in an iterative process to calculate a location estimate that is highly accurate. In particular, the multivariate position estimation approach can employ the statistical quality of each of these types of information to quickly arrive at a highly accurate position estimate within a 3D coordinate system. The multivariate position estimation approach can be implemented in environments where a single receiver is available as well as in environments where multiple receivers exist.

Multivariate position estimation

Sending network data. A method includes transmitting data on a communication link, in an environment. A network control overhead portion of the data is allocated to network control overhead data packets for controlling how data is transmitted on the communication link. A user data portion of the data is allocated to user data packets for transmitting data between users of nodes on the communication link. A change in data capacity of the communication link is identified. As a result, a change is made in the network control overhead portion of the data, changing at least one of frequency of network control overhead data packets or size of network control overhead data packets to attempt to maintain a predetermined proportion factor for the network control overhead portion as compared to the user data portion. The network control overhead portion of the data is transmitted according to the change.

Scalable network overhead for contested environments

Transmitting data in a mesh network. A method includes identifying points on a piecewise continuous surface. The piecewise continuous surface defines minimum threshold power values to maintain a predetermined signal-to-noise ratio at a predetermined bitrate for a transmitter node transmitting to one or more receiver nodes in the mesh network. Points of a constant total power surface are identified defining required ratios of transmitting power for transmitting sources of the transmitter node. One or more points on the piecewise continuous surface that intersect with the constant total power surface are identified. As a result, transmitting power levels for the transmitting sources of the transmitter node are identified. As a result, data is transmitted at or above transmitting power levels, using the transmitting sources.

Power and rate control algorithm for multi-antenna communication links in a mesh network

Optimizations are provided for controlling an amount of radiated power (i.e. spectral flux density) that is being transmitted to a particular location. To that end, one or more antennas are used to transmit a power signal. Then, position information for each of those antennas is determined. Additionally, environmental information for the environment in which the antennas are operating is also determined. Also, an antenna radiation pattern for each of those antennas is also determined. Thereafter, how much power is radiated to a particular location is controlled so that the power never exceeds a certain threshold value. This control is achieved by dynamically adjusting the transmit power of the antennas based on the information obtained from the position information, the environmental information, and the antenna radiation pattern information.

Navigation aware power limiting

Embodiments are directed to systems and methods for selecting appropriate transmission configurations in a mobile ad hoc frequency division duplexing mesh network. In one scenario, a node receives transmission parameters from a neighboring node, where the transmission parameters include an indication of the node's current transmission configuration. The node receives network parameters from neighboring nodes, where the network parameters include connection information describing the node's current network connection to the neighboring nodes. Then, based on the received transmission parameters and the received network parameters, the node calculates a change factor which indicates the desirability of changing transmission configuration. The node accesses the calculated change factor to determine whether the transmission configuration of the node is to be changed and, upon determining that the change factor indicates that the transmission configuration of the node should be changed, the transmission configuration of the node is changed to a second, different transmission configuration.

Frequency band control algorithm

Embodiments are directed to systems and methods for communicating between nodes in a mobile ad hoc network. In one scenario, a node in a mobile ad hoc network communicates with another node in the network using both code division multiple access (CDMA) and frequency division duplexing. The communication is coded prior to transmission to the other node, and includes applying direct sequence spread spectrum (DSSS) modulation to a transmission signal at a specified bit rate over a specified spectrum. The DSSS coding is applied in accordance with a processing gain which spreads the spectrum relative to the bit rate of the transmission. The coded communication is then transmitted over a specified frequency band allocated to the node over which the node transmits data and over which the other node receives the data.

Code division multiple access (CDMA) Manet

Communications links can be established between a plurality of communications nodes to form an at least partially connected mesh network. Establishing a link can include transmitting synchronization data from a first communications node. The synchronization data can be transmitted symbol synchronously on a plurality of narrowband radio channels. A second communications node can combine energy received from the plurality of narrowband radio channels and use the combined energy to synchronize to the first communications node. Data transmissions can be demultiplexed by the first communications node into a plurality of lower rate streams for transmission across the plurality of narrowband radio channels. The second communications node can receive and multiplexed back together the lower rate streams.

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South Jordan, UT, United States of America

Jason Wilden