Abstract:
Disclosed subject matter relates to techniques for predicting jamming effectiveness. In one approach, platform models and propagation models are used to predict maximum threat communication range when jamming is used and when jamming is not used. The maximum range information may then be used to calculate jammer effectiveness. In another approach, probability-based techniques are used to predict jamming effectiveness for a system of interest.
Abstract:
Systems and methods are disclosed to analyze and predict the interference susceptibility of receiver designs. In some implementations, the systems and methods may be used during a receiver design phase to predict how well a receiver design will perform in the presence of certain types of signals in a deployment region of a receiver. The systems and methods may allow potential shortcomings in a receiver design affecting interference susceptibility to be identified and remedied before any actual receiver hardware is constructed, thereby reducing costs typically associated with complex hardware redesign efforts.
Abstract:
Methods and systems are disclosed for performing energy-on-target simulations for targeted regions to predict power or energy levels incident within the targeted region resulting from transmissions of a specific transmitting platform. Models may be used of a transmitting platform, a receiving platform, and a channel between the transmitting platform and the receiving platform to perform the simulation. In some embodiments, a plot may be generated of the energy-on-target results.