Abstract: An Automatic Dependent Surveillance Broadcast (ADS-B) system may include a plurality of ADS-B terrestrial stations, with each ADS-B terrestrial station comprising an antenna and wireless circuitry associated therewith defining a station gain pattern. The system may further include a controller including a variational autoencoder (VAE) configured to compress station pattern data from the plurality of ADS-B terrestrial stations, create a normal distribution of the compressed data in a latent space of the VAE, and decompress the compressed station pattern data from the latent space. The controller may also include a processor coupled to the VAE and configured to process the decompressed station pattern data using a probabilistic model selected from among different probabilistic models based upon a game theoretic reward matrix, determine an anomaly from the processed decompressed station pattern data, and generate an alert (e.g., a station specific alert) based upon the determined anomaly.

Abstract: Systems and methods for detecting anomalies in antenna systems (e.g., air traffic control surveillance systems), include a processor receiving antenna status information. A variational autoencoder receives and optimizes the antenna status information and determines whether it qualifies as an anomaly. Optimized antenna status information is compared to either non-anomalous or anomalous antenna status data in a latent space of the variational autoencoder. The latent space preferably includes an n-D point scatter plot and hidden vector values. The processor optimizes the antenna status information by generating a plurality of probabilistic models of the antenna status information and determining which of the plurality of models is optimal. A game theoretic optimization is applied to the plurality of models, and the best model is used to generate the n-D point scatter plot in latent space. An image gradient sobel edge detector preprocesses the antenna status information prior to optimization.

Abstract: A remote communications terminal accesses a terrestrial network or information source via a SATCOM link with an earth station hub linked to the network or information source. Information throughput adaptation (ITA) is employed on the SATCOM link to maximize information throughput over the SATCOM link while ensuring acceptable signal quality under varying rain fading conditions. Sufficient power margin is built into the SATCOM link such that, under severe rain fading conditions, the lowest system throughput rate still provides acceptable signal quality. Under lesser rain fading conditions, the data throughput rate is increased via more bandwidth efficient modulation and coding schemes permitted by the higher signal quality which results from greater power margin. The earth station hub and remote terminals monitor the signal quality and communicate to adaptively adjust the modulation and coding used on the forward and return links to maximize information throughput under varying rain fading conditions.

Abstract: A remote communications terminal accesses a terrestrial network or information source via a SATCOM link with an earth station hub linked to the network or information source. Information throughput adaptation (ITA) is employed on the SATCOM link to maximize information throughput over the SATCOM link while ensuring acceptable signal quality under varying rain fading conditions. Sufficient power margin is built into the SATCOM link such that, under severe rain fading conditions, the lowest system throughput rate still provides acceptable signal quality. Under lesser rain fading conditions, the data throughput rate is increased via more bandwidth efficient modulation and coding schemes permitted by the higher signal quality which results from greater power margin. The earth station hub and remote terminals monitor the signal quality and communicate to adaptively adjust the modulation and coding used on the forward and return links to maximize information throughput under varying rain fading conditions.