L3harris Technologies, Inc.

L-3 Communications Corporation

L3 Technologies, Inc.

Anthony D Smith

L Andrew Gibson

Joshua D Christensen

Jeffrey L Burgoyne

Dan M Griffin

William K McIntire

David G Landon

Ryan W Hinton

Jeffrey B Bench

Stephen A Laraway

David J Moore

Improved techniques for estimating parameters of a jamming signal. An input signal is identified. This input signal is suspected of being a jammed composite signal. Attributes of a reference signal are determined. The reference signal is an expected signal that was expected to be received. A form fitting operation is performed in which the reference signal is formed fitted with the input signal. The reference signal is subtracted from the input signal to generate an isolated output signal. A suspected portion of the isolated output signal is identified. An estimated symbol rate and an estimated center frequency for the jamming signal are determined based on the suspected portion. The estimated symbol rate and the estimated center frequency are used to facilitate a subsequent mitigation operation of eliminating or reducing an impact of the jamming signal against the signal of interest.

Interference detection and coarse parameter estimation using learned and inferred baseline information

Techniques for providing a multi-stage iterative scheme to determine fine granularity estimates of parameters of an interfering signal and for using the fine granularity estimates of the parameters to reduce an impact of the interfering signal against a signal of interest (SOI) are disclosed. An input signal is identified. A first set of estimation parameters that provide a coarse granularity estimate of a center frequency of the jamming signal and of a symbol rate of the jamming signal are determined. The first set of estimation parameters are refined to generate a medium granularity estimate of the center frequency and the symbol rate of the jamming frequency. The medium granularity estimates are also refined to produce a fine granularity estimate of the center frequency and the symbol rate. The fine granularity estimates are used to remove or reduce an influence of the jamming signal on the input signal.

Algorithm and techniques for high-resolution interference parameter estimation in low-swap environment

One embodiment illustrated herein includes a system for simulating communications in an environment. The system includes a postulated physical environment model, having modeled terrain and continuous changes over time. A channel parameter calculator is coupled to the postulated physical environment model, and configured to obtain samples from the postulated physical environment model, each sample comprising information about modeled terrain at a given time. The channel parameter calculator is further configured to, from the obtained samples, generate communication channel parameters, over time. A channel simulator is coupled to the channel parameter calculator. The channel simulator is configured to be coupled to signal source and to, using the communication channel parameters, apply the communication channel parameters to a communication signal from the signal source to simulate transmission of data through a simulated channel over time.

Real-time calculator for high precision channel simulator effects

A digital communications receiver can comprise a digital filter that can be configured and later reconfigured multiple times as, for example, a matched filter, an equalizer, a matched filter and equalizer, or the like. For example, the digital filter can be initially configured as a matched filter for use with a correlation module to detect pilot symbols. Detected pilot symbols can be utilized to estimate characteristics of a channel from the distant transmitter to the receiver, and the estimated channel characteristics can be used to determine coefficients for an equalizer for reducing channel distortion in future transmissions received over the channel. The digital filter can then be configured as an equalizer or a matched filter and equalizer. If the later, the digital filter can both equalize incoming transmissions from the distant transmitter and, with a correlation module, identify any pilot symbols in the transmissions. Any detected pilot symbols can be utilized to determine again equalizer coefficients for equalizing transmissions received over the channel, and the digital filter can be updated accordingly.

Decoupled equalizer in a communications receiver

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Murray, UT, United States of America

Anthony D Smith