RF Signal Generator Using Weighted IQ Data for Operator Training
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Training operators for RF signal detection equipment is challenging due to the complexity and cost of deploying and coordinating real RF sources, and the need for licenses, which limits flexibility and availability.
Innovation Solution
A device that generates RF signals using weighted IQ data based on location and orientation, allowing for simulation of multiple virtual RF sources, which can be controlled remotely, and can be used with existing RF signal detectors via a wired connection, eliminating the need for real test transmitters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real RF sources are deployed for training, then training effectiveness is improved, but complexity and cost increase significantly
Solution Approach 1:
The patent creates virtual copies of RF transmitters by generating simulated IQ data that replicates the characteristics of real RF sources. These virtual transmitters are positioned at specified locations and orientations, allowing operators to train with multiple simulated sources without deploying physical equipment. The copying principle is applied by generating synthetic signal representations that mimic real transmitter behavior.
Solution Approach 2:
The patent replaces the mechanical deployment of physical RF transmitters with a computational system that generates synthetic IQ data. Instead of physically positioning and configuring real transmitters, the system uses processors to calculate weighted IQ data based on virtual transmitter parameters, thereby substituting a mechanical deployment system with a computational generation system.
2Reliability
If real RF sources are used for training, then realistic training scenarios are achieved, but cost and licensing requirements increase
Solution Approach 1:
The system creates virtual replicas of RF transmitters through synthesized IQ data, eliminating the need to procure and license actual transmitting equipment. The copied signal characteristics maintain training realism while avoiding the costs and regulatory barriers associated with real RF sources.
Solution Approach 2:
The patent employs computationally generated IQ data that can be freely created and modified without licensing restrictions. These virtual transmitters are inexpensive to generate compared to physical equipment, allowing unlimited training scenarios without recurring costs or regulatory approval.
3Adaptability or versatility
If multiple RF sources are coordinated for training, then comprehensive training scenarios are created, but time and operational complexity increase
Solution Approach 1:
The system pre-calculates weighted IQ data for multiple virtual transmitters based on their specified locations and orientations before training begins. This preliminary computation of signal parameters eliminates the time-consuming coordination and configuration that would be required if real transmitters were physically deployed and synchronized.
Solution Approach 2:
The patent replaces the mechanical coordination of multiple physical transmitters with computational generation of multiple IQ data streams. The system can simultaneously generate and coordinate signals from numerous virtual sources through digital processing, eliminating the time required for physical setup and synchronization.
4Adaptability or versatility
If RF sources are made mobile for realistic training, then training realism is improved, but frequency coordination and control complexity increase
Solution Approach 1:
The system dynamically updates the characteristics of virtual transmitters by recalculating weighted IQ data based on new position and orientation inputs. This allows mobile training scenarios where virtual sources can move freely without the frequency coordination complexity that would arise from moving physical transmitters, as the computational system instantly adapts to new configurations.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
Apparatus (8) for generating an RF signal for use in RF signal detection is described. The apparatus comprises at least one processor (21, 22) configured to generate a set of IQ data based on at least one set of weighted IQ data, each set of weighted IQ data having a respective weight and a circuit (24) configured to generate an RF signal using the set of IQ data. The at least one processor is configured to calculate each respective weight in dependence upon location of a signal detector (1; Fig. 8) or an antenna (41; Fig. 8) associated with the RF signal detector.