Multi-Antenna Wireless Device Angle of Arrival Estimation
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately determining the angle of arrival and range estimation between devices due to concerns such as cost effectiveness and accuracy, particularly in applications like tracking and location services.
Innovation Solution
Implementing a wireless communication device with multi-antenna front-end capabilities and advanced packet processing techniques, including repetition coding and decision-directed recovery, to estimate angle of arrival and range by exploiting redundancies and known packet contents, even in scenarios with unknown packet contents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current wireless communication systems use conventional means for angle of arrival and range estimation, then the implementation is simpler and less costly, but the accuracy and reliability of directionality and distance measurements are inadequate
Solution Approach 1:
The system segments the wireless signal reception process by using multiple antennas to receive signals from different spatial directions. Each antenna captures a portion of the spatial information, and the combined data enables accurate angle of arrival estimation through signal processing algorithms.
Solution Approach 2:
The patent transitions from conventional single-antenna reception to multi-antenna spatial diversity, adding a spatial dimension to signal reception. This dimensional expansion enables the system to extract angular information and improve measurement precision through spatial signal processing.
2Measurement precision
If current wireless communication systems use conventional means for angle of arrival and range estimation, then the device complexity is lower, but the cost effectiveness is reduced due to inadequate accuracy for tracking and location services
Solution Approach 1:
The multi-antenna system is designed to perform multiple functions: conventional signal reception, angle of arrival estimation, and range estimation. This multi-functionality justifies the increased manufacturing complexity by providing comprehensive positioning and tracking capabilities from a single system architecture.
Solution Approach 2:
The system changes key operational parameters including signal processing algorithms and antenna configuration to optimize range estimation accuracy. By adjusting these parameters, the system achieves high measurement precision that validates the increased manufacturing complexity.
3Measurement precision
If advanced packet processing techniques with repetition coding are implemented, then the accuracy of angle of arrival estimation is improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The system applies repetition coding to packet contents before transmission, creating redundant signal copies that encode spatial information. This preliminary encoding simplifies the receiving end's processing by providing pre-structured data that can be more easily processed for angle of arrival estimation.
Solution Approach 2:
The decision-directed recovery process uses feedback mechanisms where previously decoded packet contents guide the recovery of subsequent packets. This feedback loop reduces processing complexity by using known good data to facilitate the recovery of degraded or ambiguous signals.
4Reliability
If decision-directed recovery techniques are used to exploit redundancies in known packet contents, then the reliability of estimation is improved, but the processing time and computational load increase
Solution Approach 1:
The system creates copies of known packet contents through repetition coding and uses these copies as reference data for decision-directed recovery. By having multiple copies of the same information encoded in different spatial or temporal dimensions, the system can quickly recover lost or degraded packets without extensive processing.
Data Source
AI summary
Angle of arrival and/or range estimation within a wireless communication device. Appropriate processing of communications received by a wireless communication device is performed to determine the angle of arrival of the communication (e.g., with respect to some coordinate basis of the wireless communication device). Also, appropriate processing of the communications may be performed in accordance with range estimation as performed by the wireless communication device to determine the distance between the transmitting and receiving wireless communication devices. There are two separate modes of packet processing operations that may be performed: (1) when contents of the received packet are known, and (2) when contents of the received packet are unknown. The wireless communication device includes a number of antenna, and a switching mechanism switches from among the various antennae capitalizing on the spatial diversity of the antennae to generate a multi-antenna signal.