Abstract: A decentralized event detection and geolocation system is disclosed, utilizing a dynamically adaptable Spontaneously Emergent Geolocation Network (SEGNet) comprising mobile, stationary, and other devices equipped with multi-sensor capabilities. The system operates by obtaining sensor data from distributed devices, applying trained models to detect potential events of interest (EOIs), and dynamically forming device networks for collaborative geolocation and event validation. The system employs synchronization mechanisms and geolocation techniques, including Time Difference of Arrival (TDOA) and/or Angle of Arrival (AoA), to determine event locations through multimodal data fusion and iterative validation processes. The architecture supports multiple operational modes, including decentralized, centralized, and hybrid configurations, enabling operation in connectivity-limited environments and enhanced processing when server access is available.

Abstract: Systems and methods for detecting, localizing, and filtering signals such as radiofrequency signals using an array of antennas are disclosed. Input signals each containing a signal of interested are received, along with a reference signal sharing one or more characteristics of the signal-of-interest. Predetermined time delays and frequency shifts are applied to the input signals such that the signal-of-interest components of the signals are synchronized and to cancel any Doppler-shifting between the signal-of-interest components. A filtering process is employed to filter the shifted input signals and sum them such that a metric indicating the degree of difference between the reference signal and the summed filtered signals (such as the mean squared error, for example) is minimized.

Abstract: Systems and methods for detecting, localizing, and filtering signals such as radiofrequency signals using an array of antennas are disclosed. Input signals each containing a signal of interested are received, along with a reference signal sharing one or more characteristics of the signal-of-interest. Predetermined time delays and frequency shifts are applied to the input signals such that the signal-of-interest components of the signals are synchronized and to cancel any Doppler-shifting between the signal-of-interest components. A filtering process is employed to filter the shifted input signals and sum them such that a metric indicating the degree of difference between the reference signal and the summed filtered signals (such as the mean squared error, for example) is minimized.