Abstract: A cognitive scheduler and asset allocation system to optimize electronic warfare (EW) resource allocation in reaction to RF signals observed in real-time without the need for prior collected data and without a predetermined scan schedule. The EW system of the present disclosure may further provide optimum resource allocation to minimize response time and to more effectively react to agile threat systems in an area of operations.

Abstract: A disclosed apparatus and method detect light source “hotspots” and recognize laser communication signals within a scene, while minimizing repeat consideration of previously detected light sources. Local maxima are identified in pixel frames from a focal plane array (FPA), and compared with a table of previous detections. FPA frames can be used directly for hotspot detection, or successive FPA frames can be subtracted for edge detection. Most recent detection frame numbers, coordinates, signal values, and/or other information can be updated in the table upon repeat detection of a hotspot. Source identifying information can be included in the table for entries that are identified as laser communication signals. Source identifying features can be evaluated so that only signals of interest are saved in the table. Hotspots that remain undetected after a designated number of frames can be deleted from the table.

Abstract: An instantaneous frequency measurement (IFM) receiver includes a receiver module for determining a frequency fe of a received signal. Also included is a discrete Fourier transform (DFT) module configured to sum values of digital samples of data in a block of data, wherein the values of the digital samples of data are based on the frequency fe. A confirmation module confirms the frequency fe, if the sum has a value greater than a predetermined threshold. The DFT module is configured to obtain the sum of N-sample points of data which are disposed in the block of data by using a DFT kernel function.