US 11,808,882 B2
Radar electronic countermeasures without a threat database
Scott A Kuzdeba, Hollis, NH (US); Matthew Anderson, Mont Vernon, NH (US); Brandon P. Hombs, Merrimack, NH (US); Daniel Massar, Bedford, NH (US); and John A. Tranquilli, Jr., Amherst, NH (US)
Assigned to BAE Systems Information and Electronic Systems Integration Inc., Nashua, NH (US)
Filed by BAE SYSTEMS Information and Electronic Systems Integration Inc., Nashua, NH (US)
Filed on Nov. 20, 2020, as Appl. No. 16/953,659.
Prior Publication US 2022/0163629 A1, May 26, 2022
Int. Cl. G01S 7/36 (2006.01); G01S 7/38 (2006.01); G01S 7/02 (2006.01)
CPC G01S 7/36 (2013.01) [G01S 7/021 (2013.01); G01S 7/38 (2013.01)] 16 Claims
OG exemplary drawing
 
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.