Wireless Network Position Estimation Using DoA Beacons and Dynamic Beamforming
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Solution Overview
Problem
Existing position estimation methods for mobile devices in wireless communication networks, such as drones, are inefficient due to high power consumption, processing complexity, and inaccuracy, especially in urban environments, and 3D beamforming can deteriorate communication performance due to narrow beam widths.
Innovation Solution
A mobile device transmits a beacon signal with a unique identification, and a base station responds with direction of arrival (DoA) and location information, enabling the mobile device to estimate its position with reduced calculations, and a base station provides main lobe direction for improved communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing position estimation methods are used for mobile devices, then position estimation can be performed, but power consumption is high and processing complexity increases
Solution Approach 1:
The patent introduces a base station as an intermediary that performs the complex DoA estimation and position calculation on behalf of the mobile device. The base station receives signals from the mobile device, estimates the direction of arrival using sophisticated algorithms, and calculates the device's position based on the base station's known location and the estimated direction. This mediator approach allows the mobile device to obtain accurate position information without performing complex calculations itself, thereby reducing power consumption and processing requirements while maintaining high measurement precision.
2Measurement precision
If existing position estimation methods are used for mobile devices, then position estimation can be performed, but processing complexity increases
Solution Approach 1:
The base station acts as an intermediary that handles all complex signal processing and position estimation calculations. The mobile device simply transmits reference signals and receives position information from the base station. This eliminates the need for complex processors in mobile devices, reducing device complexity while maintaining accurate position estimation through the base station's computational capabilities.
3Reliability
If 3D beamforming is applied, then communication performance can be improved, but beam width becomes narrow which deteriorates performance
Solution Approach 1:
The patent implements dynamic beam adjustment where the base station continuously estimates the direction of arrival of signals from mobile devices and adjusts the beam direction accordingly. This dynamic adaptation allows the system to maintain narrow beams for high gain when needed while automatically tracking mobile devices as they move, preventing signal loss due to device movement outside the narrow beam width. The beamforming parameters are adjusted in real-time based on DoA estimation, resolving the contradiction between narrow beam width and communication reliability.
Data Source
AI summary
An apparatus includes an antenna and a transceiver. The transceiver transmits a first signal via the antenna, the first signal including a unique identification of the apparatus and a request for receive information about the first signal at a receiver. The transceiver receives from the receiver a second signal via the antenna, the second signal including first information about a direction of arrival (DoA) of the first signal at the receiver and second information indicative of a location of the receiver.