Directional RF Antenna Modules for Adaptive Tracking and Transmission

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Solution Overview

Problem

Conventional RF systems are limited in functionality, adaptability, and location flexibility, often requiring significant effort and resources for updates or reconfiguration, and lack directional signal transmission capabilities.

Innovation Solution

A modular, adaptable, and movable RF system with directional antennas, processing modules, and machine learning components that enable multiple functions, reprogramming, and efficient signal transmission in specific directions, supported by modular hardware and software configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If omnidirectional antennas are used to monitor surrounding areas, then the system can receive signals from all directions, but the power requirements become high and directional signal transmission is eliminated

Engineering Contradiction:
Improvesignal reception coverageVSAvoidpower requirements
Core Design Contradiction:
Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system employs electronically steerable antennas that can dynamically change their beam direction and coverage area through electronic control rather than physical movement. This allows the antenna to concentrate energy in specific directions at different times, providing omnidirectional monitoring capability over time while maintaining lower power requirements compared to simultaneously radiating in all directions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses periodic scanning of directional beams across different azimuth and elevation angles to achieve comprehensive area monitoring. By sequentially directing signals in different directions over time periods, the system provides full coverage monitoring while using directional transmission at any given moment, thereby reducing overall power consumption.

Inventive Principle:
Principle #19Periodic action

2Adaptability or versatility

If conventional RF systems are updated or reconfigured, then new functionality can be added, but significant expense and effort are required including new hardware and software rewriting

Engineering Contradiction:
Improvefunctionality updatesVSAvoidupdate cost and effort
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The system employs a universal hardware platform with reconfigurable RF modules that can perform multiple functions through software configuration. The modular architecture allows different functional modules (detection, tracking, transmission) to be combined and recombined through software without requiring hardware changes, enabling functionality updates at minimal cost.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses dynamically reconfigurable RF parameters and software-defined radio technology that allows the hardware to adapt its behavior through software instructions. This enables the same physical hardware to be reprogrammed for different frequency ranges, modulation schemes, and operational modes without physical modification.

Inventive Principle:
Principle #15Dynamics

3Ease of operation

If conventional systems are moved to new locations or orientations, then they can be deployed flexibly, but testing and calibration are required

Engineering Contradiction:
Improvelocation flexibilityVSAvoidcalibration time
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system incorporates automatic calibration and self-testing capabilities that perform system characterization and parameter optimization automatically upon installation or relocation. The electronic steering and software-controlled parameters enable the system to self-adjust to new environments without requiring manual calibration procedures, reducing deployment time significantly.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system includes pre-configured calibration profiles and automated setup routines that are prepared in advance. When deployed to a new location, the system automatically executes these pre-programmed calibration sequences, eliminating the need for time-consuming manual calibration and allowing rapid deployment to different sites.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system provides enhanced directionality, adaptability, and efficiency in detecting and transmitting signals, optimizing power usage and reducing interference, while enabling flexible installation and updates without extensive recalibration.

Implementation Method 1

Hardware components of the described systems can include one or more directional broad-bandwidth antennas... configured to transmit or receive at varying power levels and frequencies in one or more specific directions

Methodology Applied
Scientific EffectElectromagnetic radiation: Electromagnetic Induction

Implementation Method 2

The direction finder can use reception of radio waves to determine the direction in which an object is located

Methodology Applied
Scientific EffectRadio wave reception and direction determination: Electromagnetic Induction

Data Source

PatentEP4298450B1Modular system for detecting, tracking, and transmitting to identified objects
Publication Date: 2025.10.08 ANDURIL IND INC
  • EP4298450B1 patent drawingFigure 1A
  • EP4298450B1 patent drawingFigure 1B
  • EP4298450B1 patent drawingFigure 1C

AI summary

A modular, radio frequency ("RF") system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.