AoX Multipath Detection Using Dual Pseudospectrums
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Solution Overview
Problem
Existing Angle of Arrival and Angle of Departure algorithms fail to accurately determine spatial position in multipath environments due to incorrect angle calculations caused by signal reflections and multipath phenomena.
Innovation Solution
A system and method that create first and second pseudospectrums based on azimuth and elevation angles, and polarization ratios to detect multipath environments, using goodness values to determine the spatial position by ignoring or weighting results from locator devices in multipath conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AoX algorithms are used to determine spatial position, then positioning functionality is provided, but measurement precision deteriorates in multipath environments due to signal reflections
Solution Approach 1:
The patent applies preliminary action by creating goodness indicators before final position calculation. The system generates first and second pseudospectrums, calculates goodness values for each, and determines a combined goodness indicator in advance. This preliminary assessment allows the system to identify and mitigate multipath effects before they corrupt the final spatial position determination, thereby maintaining measurement precision in challenging environments.
2Measurement precision
If all locator device results are used for position calculation, then positioning coverage is maximized, but measurement precision decreases due to inclusion of multipath-affected signals
Solution Approach 1:
The patent applies segmentation by dividing the position calculation process into distinct stages: generating a first pseudospectrum from angle of arrival data, generating a second pseudospectrum from polarization data, calculating separate goodness values for each, and then combining them. This segmented approach allows systematic evaluation of different signal characteristics, enabling the system to identify multipath-affected measurements and exclude them, thereby improving precision without excessive complexity.
3Measurement precision
If multipath detection is implemented, then spatial position accuracy improves in reflected signal environments, but device complexity increases due to additional pseudospectrum calculations
Solution Approach 1:
The patent introduces intermediary elements (goodness indicators and pseudospectrums) that mediate between raw signal data and final position calculation. The first goodness indicator mediates the angle of arrival data, while the second mediates polarization data. These intermediaries provide a structured way to assess signal quality and detect multipath effects, improving spatial position accuracy while keeping the processing complexity manageable through systematic intermediate evaluation steps.
Data Source
AI summary
A system and method for detecting a multipath environment is disclosed. A first pseudospectrum based on azimuth angle and elevation angle is created. The result of this first pseudospectrum are used to create a second pseudospectrum based on polarization and field ratio. The sharpness of the results for these two pseudospectrums is determined and may be used to detect whether a multipath environment exists. If a multipath environment is believed to exist, the results from this device are ignored in determining the spatial position of the object.