Radio Wave Source Position Estimation Using Feature Space Classification
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Solution Overview
Problem
Existing radio wave transmission source position estimation systems face challenges due to large sensor sizes and installation difficulties, primarily because each sensor requires multiple antennas for measuring the direction of arrival of radio waves.
Innovation Solution
A system comprising a sensor with a characteristic vector classification part that classifies received signal data into subsets in feature space, extracting attribute data, and a position estimation apparatus that combines matching attribute data to estimate the transmission source position without needing to measure the direction of arrival, allowing for the use of small-sized sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple antennas are used to measure direction of arrival of radio waves, then measurement precision is improved, but device complexity and size increase
Solution Approach 1:
The patent extracts the direction of arrival measurement function from the sensor hardware and relocates it to the data processing stage. Instead of measuring direction directly at the sensor using multiple antennas, the system extracts directional information by processing the received signal data through characteristic vector classification and attribute data extraction, thereby simplifying the sensor structure while maintaining measurement precision
Solution Approach 2:
The patent replaces the mechanical/physical system of multiple antennas with an information processing system. The directional measurement is achieved through computational methods (characteristic vector classification, attribute extraction, and data combination) rather than through physical antenna arrays, substituting a complex mechanical structure with a simpler computational approach
2Measurement precision
If multiple antennas are used for each sensor, then measurement precision is improved, but ease of installation deteriorates
Solution Approach 1:
The patent removes the requirement for multiple antennas from each sensor by extracting the directional measurement capability to the data processing level. This allows sensors to be installed as simple single-antenna units while the system maintains high position estimation accuracy through subsequent data processing steps involving characteristic vector classification and attribute combination
Solution Approach 2:
The patent changes the measurement parameters from direct physical measurement (multiple antennas measuring direction of arrival) to information-based measurement (single antenna receiving signals processed through characteristic vectors and attribute data). This parameter change enables simpler sensor installation while preserving estimation accuracy
Data Source
AI summary
A transmission source position estimation system includes a sensor and a position estimation apparatus. The sensor is provided with a characteristic vector classification part and an attribute data extraction part. The characteristic vector classification part classifies a set of characteristic vectors obtained from received signal data of a transmitted wave, into subsets in a feature space. The attribute data extraction part extracts attribute data for each of the subsets and outputs the extracted data as an attribute data sequence. The position estimation apparatus is provided with a data combination part and a position estimation part. The data combination part combines attribute data that match or are similar to at least one attribute for a plurality of attribute data sequences. The position estimation part estimates the position of the transmission source from the combined attribute data and the position of the sensor that receives the transmitted wave.