Joint Waveform Positioning in Distributed RF Systems
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Solution Overview
Problem
Modern radio frequency (RF) communication systems face challenges in efficiently managing limited spectral access and reducing interference in congested environments, particularly for applications like unmanned aerial systems (UASs) that require high-precision positioning and orientation information.
Innovation Solution
A distributed RF communications system that employs advanced time-of-arrival estimation techniques and a joint waveform for simultaneous positioning and communications tasks, using multi-antenna platforms and encryption for secure timing synchronization, enabling efficient spectral use and orientation estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced time-of-arrival estimation techniques and joint waveforms are used for simultaneous positioning and communications, then positioning precision and spectral efficiency are improved, but system complexity increases
Solution Approach 1:
The patent combines positioning and communications functions into a single joint waveform transmission system. The RF transceiver transmits signals that simultaneously serve both positioning (through time-of-arrival estimation) and communications (through encrypted data link) purposes, eliminating the need for separate dedicated positioning signals and reducing overall system complexity despite the advanced processing required.
Solution Approach 2:
The RF transceiver and signal processor are designed to perform multiple functions: transmitting joint waveforms for positioning and communications, performing time-of-arrival estimation, encrypting/decrypting data, and maintaining synchronization. This multi-functionality allows the system to achieve high positioning precision while utilizing existing communication infrastructure, thereby managing complexity.
2Adaptability or versatility
If more RF devices are deployed in congested environments to support sophisticated tasks, then system capabilities are improved, but spectral resources are consumed and interference increases
Solution Approach 1:
The system enables RF devices to perform both positioning and communications tasks using the same spectral resources and waveforms. This multi-functionality allows more devices to operate in congested environments without requiring additional dedicated positioning spectrum, as each communication signal simultaneously provides positioning information.
Solution Approach 2:
The patent employs advanced signal processing techniques including time-of-arrival estimation and encrypted data links that extract positioning information from communication signals. By changing how spectral resources are utilized (from dedicated positioning frequencies to extracting positioning data from communication waveforms), the system supports more devices in congested spectra without increasing overall spectral consumption.
3Reliability
If encryption is implemented for secure timing synchronization, then system security is improved, but processing complexity increases
Solution Approach 1:
The patent merges security (encryption) with timing synchronization functions in the signal processing chain. The encryption is integrated into the joint waveform transmission and reception process, where the same signal that carries positioning information also carries encrypted communication data. This combination achieves security without requiring separate dedicated security hardware or protocols, managing processing complexity through functional integration.
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
This approach allows for high-precision estimation of positions, orientations, velocities, and accelerations of network nodes, reducing spectral demand and supporting more users within a given frequency allocation while securing against cyberattacks.
Implementation Method 1
receiving a first RF receive signal comprising a first positioning sequence from a first network node
Implementation Method 2
measures time-of-flight (ToF) between all pairs of antennas between two nodes
Data Source
AI summary
Position information estimation in a distributed radio frequency (RF) communications system is provided. Embodiments disclosed herein facilitate high-precision estimations of positions, orientations, velocities, and acceleration of network nodes in a distributed RF network (e.g., including base stations and vehicles, such as aircraft or unmanned aerial systems (UASs)). Modern radio systems must adapt to limited spectral access by reducing spectrum demand and increasing operational efficiency. In this regard, an RF system is provided which simultaneously performs positioning and communications tasks. This system specifically addresses the issue of spectral congestion by employing an extremely efficient positioning strategy and using a joint waveform that simultaneously enables both tasks. This efficiency in turn supports more users in a given frequency allocation.