CPC G01S 7/36 (2013.01) [G01S 7/021 (2013.01); G01S 7/38 (2013.01)] | 16 Claims |
1. A closed loop real-time cognitive Electronic Warfare (EW) system comprising:
an EW receiver for receiving radar threat signals from a threat radar and providing raw signal data;
a Signal Analysis and Characterization (SAC) module receiving the raw signal data, the SAC module comprising:
a Pulse to Emitter Association (P2E) sub-module for identifying emitters and isolating pulses for at least one emitter;
a Function De-interleaving Classifier (FDC) sub-module that de-interleaves radar function behaviors for the emitter;
a Threat Behavior Model (TBM) sub-module tracking changes in radar behaviors;
an EW Track Manager (EWTM) sub-module comprising: an unsupervised machine learning algorithm configured to cluster pulse detection data and build individual emitter models or emitters present in an RF environment completely independent of any emitter database;
wherein the SAC module outputs a Threat Behavior Model message;
a Countermeasures Synthesis (CS) module receiving the Threat Behavior Model message and outputting a CounterMeasure (CM) Strategy message, the CS module comprising:
a Capability, Severity, and Intent (CSI) sub-module determining a level of threat for each emitter;
a Countermeasure Selection (CMS) sub-module selecting one or more electronic countermeasures;
a Countermeasure Optimization (CMO) sub-module parameterizing at least one of the electronic countermeasures;
an EW transmitter;
a Countermeasures Effectiveness Assessment (CEA) module receiving the Threat Behavior Model message, the CM Strategy message and outputting an Effectiveness Estimate message, the CEA comprising:
a Resource Management module receiving the CM Strategy message and outputting an Executed CounterMeasure (CM) message to the EW transmitter;
wherein the EW transmitter is configured to transmit at least one countermeasure to the threat radar; and
wherein said Function De-interleaving Classifier sub-module comprises:
data-driven machine learning de-interleaves radar function behaviors for each emitter and identifies a mode and intent of each completely independent of any emitter database, wherein the de-interleaving is performed by real-time inference of radar behaviors in the context of the physics of the radio frequency domain through discrete and continuous parametric and non-parametric modeling; and
said Threat Behavior Modeling sub-module comprises:
tracking changes in behaviors to enable continual updates to functions of said CS module and said CEA module.
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