MIMO Subspace Signal Processing for V2X Location Accuracy
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Solution Overview
Problem
Wireless communication networks and radar systems face interference and jamming issues in vehicle-to-everything (V2X) communication, affecting the accuracy of target location approximation in autonomous driving applications.
Innovation Solution
A subspace-based radar communication system utilizing multiple-input and multiple-output (MIMO) antennas processes time domain and spatial domain subspace signals to determine the direction of arrival and time delay of reflected signals, enhancing location approximation accuracy by employing orthogonal frequency-division multiplexing (OFDM) and multiple signal classification (MUSIC) algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional wireless communication networks and radar systems are used in V2X communication, then basic communication functionality is achieved, but interference and jamming occur which affect the accuracy of target location approximation
Solution Approach 1:
The patent segments the received signal into multiple independent subspace components using MIMO antenna arrays and subspace decomposition algorithms. By dividing the signal space into orthogonal subspaces, the system can separately process and analyze different signal components, effectively isolating target signals from interference and jamming signals, thereby improving location approximation accuracy
Solution Approach 2:
The patent introduces subspace processing algorithms as an intermediary between signal reception and target location determination. These algorithms act as a mediator that filters and processes the raw received signals, extracting useful target information while eliminating interference and jamming components before final location calculation
2Measurement precision
If subspace-based radar communication system with MIMO antennas is used, then location approximation accuracy is improved, but system complexity increases due to multiple antennas and signal processing requirements
Solution Approach 1:
The MIMO antenna system performs multiple functions simultaneously: it transmits radar signals for target detection, receives reflected signals for location approximation, and processes subspace components for interference rejection. This multi-functionality reduces the need for separate dedicated components, managing system complexity while maintaining high measurement precision
Solution Approach 2:
The patent replaces complex mechanical signal filtering systems with computational subspace processing algorithms. Instead of using physical filters and multiple separate processing chains, the system uses mathematical transformations and signal processing algorithms to achieve the same interference rejection and signal separation, reducing mechanical complexity while maintaining accuracy
Data Source
AI summary
A method for location approximation through time-domain subspace signals and spatial domain subspace signals is provided with an orthogonal frequency-division multiplexing (OFDM)-based wireless device that includes a wireless terminal, a multiple-input and multiple-output (MIMO) antenna, a spatial subspace processor, and a temporal subspace processor. An uplink signal is transmitted from the wireless terminal towards a plurality of targets positioned within an operational range of the MIMO antenna. A plurality of reflected signals generated from the plurality of targets and is received through the MIMO antenna. The plurality of reflected signals is processed at the spatial subspace processor to determine a direction of arrival (DOA) for each of plurality of reflected signals. Each of the plurality of reflected signals is processed by the temporal subspace processor to determine a time delay. The time delay and the DOA are utilized to derive a location approximation for the plurality of targets.