Distributed-Antenna Location Estimation via Unique Signal Patterns
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Solution Overview
Problem
In distributed-antenna wireless telecommunications systems, accurately estimating the location of a wireless terminal is challenging due to overlapping and non-overlapping service areas, where signals from multiple antennas create ambiguity in signal reception patterns.
Innovation Solution
Radiating different combinations of radio signals from various antennas to create distinct service areas, allowing location estimation based on the specific signals received and not received by a wireless terminal, thereby identifying unique patterns of signal reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If identical signals are transmitted from multiple spatially-separated antennas to tailor the effective service area, then the service coverage is improved, but the ability to precisely estimate terminal location deteriorates due to signal ambiguity
Solution Approach 1:
The service area is segmented into multiple distinct regions, each associated with a unique combination of antenna signals. By dividing the coverage area into zones with different signal patterns, the system can identify terminal location based on which segment's signal combination is received, thus resolving the contradiction between expanded coverage and location precision.
Solution Approach 2:
Different regions of the service area are assigned different signal characteristics (unique combinations of antenna signals). Each local region has a distinct signal quality pattern that enables location identification. This local differentiation allows the system to maintain broad service coverage while providing precise location estimation through spatially-varying signal properties.
2Measurement precision
If different combinations of radio signals are radiated from different antennas to enable location estimation, then location accuracy is improved, but the system complexity increases
Solution Approach 1:
The system dynamically assigns different signal combinations to different antennas based on spatial requirements. Rather than using fixed identical signals from all antennas, the system adaptively varies the signal combinations transmitted from each antenna, enabling location estimation while managing complexity through dynamic rather than static signal assignment.
Solution Approach 2:
The system changes the parameters of transmitted signals (specifically the combination of antenna signals used) to encode spatial information. By varying signal parameters across different antennas and regions, the system achieves location estimation accuracy without requiring complex additional hardware, as the complexity is managed through parameter variation rather than structural complexity.
3Device complexity
If signals are transmitted from fewer antennas with identical signals, then the system complexity is reduced, but the service area coverage is limited
Solution Approach 1:
Multiple antennas are configured to serve multiple functions simultaneously: they provide broad service coverage while also enabling location estimation. Each antenna participates in both coverage expansion and spatial identification, making the antenna system universal in its functionality. This multi-functionality allows the system to achieve both extended service area and location accuracy without requiring separate dedicated systems.
Solution Approach 2:
The system transitions from a single-dimension approach (identical signals for coverage) to a multi-dimensional approach by varying signal combinations across the spatial dimension. This dimensional change allows the same antenna infrastructure to simultaneously provide broad coverage in one aspect while enabling location precision through spatial signal variation in another dimension.
Data Source
AI summary
A wireless telecommunications system that employs a distributed-antenna system is described in which different combinations of radio signals are assigned to antennas so as to facilitate locating a wireless terminal based on the identity of the radio signals it receives above a threshold signal strength.