Adaptive Jamming System for IED and RF Interference Avoidance
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Solution Overview
Problem
Current systems, including self-driving vehicles and electronic signal jamming devices, are unable to adapt to changing threats and environmental conditions effectively, particularly in high-risk areas with improvised explosive devices (IEDs) and electromagnetic interference, and face challenges in managing radio frequency spectrum for communication.
Innovation Solution
A Remote Information Collection, Situational Awareness, and Adaptive Response System (RICSAARS) that uses an unmanned mobile reconnaissance vehicle (UMRV) to detect and analyze threats ahead of a mobile control vehicle (MCV), relaying information to adapt onboard systems, alter mission paths, and manage radio frequencies to avoid interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electronic signal jamming devices use a static loadset, then the device structure is simple, but the system cannot adapt to changing threats and environmental conditions
Solution Approach 1:
The patent implements dynamic adaptability by enabling the jamming device to modify its loadset in real-time based on detected threats and environmental conditions. The system transitions from static to dynamic operation through continuous sensor monitoring and adaptive signal processing, allowing the device to respond to changing IED frequencies and electromagnetic environments while maintaining manageable complexity through automated decision algorithms.
Solution Approach 2:
The system incorporates feedback mechanisms where sensors continuously monitor the electromagnetic environment and detected threats are fed back to the control system. This feedback loop enables the jamming device to adjust its loadset dynamically, selecting and applying appropriate countermeasures based on real-time conditions, thereby achieving adaptability without requiring overly complex manual intervention systems.
2Loss of information
If a mobile reconnaissance vehicle collects and relays threat information, then situational awareness is improved, but system complexity and communication requirements increase
Solution Approach 1:
The system divides the overall threat detection and response function into separate modules: the unmanned reconnaissance vehicle handles forward area surveillance and data collection, while the mobile control vehicle processes information and coordinates responses. This segmentation allows each component to specialize in specific tasks, improving information availability while managing system complexity through functional decomposition and standardized communication protocols.
3Reliability
If self-driving vehicles operate in high threat areas, then operational capability is maintained, but safety and reliability are compromised due to undetected threats
Solution Approach 1:
The unmanned mobile reconnaissance vehicle performs preliminary threat detection and environmental assessment before the mobile control vehicle or self-driving vehicles enter high-risk areas. By conducting advance surveillance of IED locations, electromagnetic hazards, and road conditions, the system establishes a safety foundation that allows subsequent vehicles to operate with improved reliability while using streamlined detection systems rather than duplicating full surveillance capabilities on each vehicle.
Data Source
AI summary
An adaptive situational awareness, decision support, and automated response system operable to receive sensor data or situational awareness data for a region of interest along or in advance of a path of travel of a vehicle obtained from at least a mobile reconnaissance sensor platform and select/execute one or more response programming or plans to operate one or more vehicle equipment items, e.g., a remote interaction, control or jamming system, from a stored database, manual inputs, or a distributive network based on matching of plans/programs with at least one of the sensor outputs or situational awareness data is provided. Apparatus and methods are also provided that enable an exemplary system to obtain data associated with an area surrounding the vehicle and provide this data to other system, subsystems, and personnel.


