Wireless Signal Index Positioning via Temporal Data Correlation
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Solution Overview
Problem
Current positioning algorithms fail to effectively handle discrete wireless signal indexes, leading to inaccurate location determination in scenarios where mobile stations transmit signals to multiple receivers simultaneously, resulting in random signal arrival times and varying frequencies.
Innovation Solution
A method and device that read and process received data in the order of signal reception time, acquire wireless signal indexes from current and historical data, and calculate the target's coordinate position using a preset correlation between signal indexes and receiver positions, allowing for precise positioning even with discrete wireless signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current positioning algorithms are used to handle wireless signal indexes, then the positioning process is simple, but the positioning accuracy deteriorates due to inability to effectively handle discrete wireless signal indexes
Solution Approach 1:
The patent performs preliminary actions by collecting and storing historical wireless signal indexes from multiple receivers before the actual positioning calculation. The system pre-processes signal data, organizing it by receiver and timestamp, so that when positioning is needed, the algorithm already has structured historical data to work with, improving accuracy without requiring complex real-time processing
Solution Approach 2:
The patent transitions from handling single-dimension signal strength data to multi-dimensional positioning by incorporating data from multiple receivers at different locations and times. It creates a spatial-temporal dimension by collecting signal indexes from multiple receivers simultaneously and across different time points, enabling more accurate target localization through dimensional expansion
2Area of stationary object
If wireless signals are transmitted to multiple receivers simultaneously, then signal coverage is improved, but signal arrival times become random and positioning accuracy deteriorates
Solution Approach 1:
The patent implements feedback by continuously collecting wireless signal indexes from multiple receivers over time and using this accumulated information to refine positioning calculations. The system feeds back historical signal data into the positioning algorithm, allowing it to compensate for random arrival times and improve accuracy through iterative refinement based on observed signal patterns
Solution Approach 2:
The patent introduces time-stamped signal index data as an intermediary between the wireless signals and the positioning calculation. By using the temporal information and signal strength indexes as intermediate parameters, the system can process signals from multiple receivers with random arrival times and still achieve accurate positioning through the intermediary data layer
3Measurement precision
If only current wireless signal data is used for positioning, then processing speed is improved, but positioning precision deteriorates due to lack of historical context
Solution Approach 1:
The patent performs preliminary action by pre-collecting and organizing historical wireless signal index data from multiple receivers before positioning calculations are needed. This pre-processing creates a ready-to-use historical database that can be quickly queried during positioning operations, providing contextual information without requiring extensive real-time processing
Solution Approach 2:
The patent applies partial action by selectively using historical data within a predetermined time duration rather than processing all available historical information. This approach provides sufficient contextual background for accurate positioning while limiting the amount of data processed, thus balancing precision requirements with processing time constraints
Data Source
AI summary
A method and a device of positioning based on wireless signal indexes are provided by the present disclosure. The method takes the wireless signals sent by the target to be located and received by all the receivers as inputs in sequence, and considers influence of the wireless signal indexes received by the current receiver for a current time and for a previous time as well as the wireless signal indexes received by all the receivers in the predetermined historical duration during positioning calculation, so as to calculate a position offset value of the target to be located and finally obtain the current coordinate position of the target to be located.