Partitioned Delay-Angle Sensing for Moving Trajectories in Multipath
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Solution Overview
Problem
In complex environments, accurately distinguishing and sensing moving objects is challenging due to multiple propagation paths and interference from reflectors, making it difficult to separate echo signals from reflected signals based on speed, angle, and distance.
Innovation Solution
Perform delay-Doppler spectrum calculation on received signals to obtain comprehensive spectra, partition and prioritize angle information, and extract delay-angle-of-arrival spectra to determine moving trajectories and targets, thereby eliminating interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If delay-Doppler spectrum calculation is performed on received signals in complex environments, then comprehensive target information is obtained, but the ability to distinguish moving targets from reflected signals deteriorates due to multiple propagation paths and interference
Solution Approach 1:
The patent partitions the delay-Doppler spectrum into multiple regions based on different propagation path characteristics. By segmenting the spectrum, the system can separately analyze and identify moving targets from reflected signals in different regions, improving measurement precision while preserving comprehensive target information.
Solution Approach 2:
The patent introduces angle information as an additional dimension to the traditional delay-Doppler spectrum, creating a delay-angle-Doppler space. This dimensional extension provides new discrimination capability to distinguish moving targets from reflected signals that have similar delay and Doppler characteristics but different angle of arrival.
2Device complexity
If traditional sensing methods are used in complex environments, then the system structure remains simple, but the sensing accuracy deteriorates due to inability to separate echo signals from reflected signals
Solution Approach 1:
The patent utilizes changes in angle information over time as a key parameter to distinguish moving targets from stationary reflectors. By tracking angle variations across multiple sensing periods, the system can identify moving targets without requiring complex hardware modifications, maintaining relative system simplicity while improving sensing accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately senses moving targets in complex environments by distinguishing angle and timing information, effectively separating moving targets from interference.
Implementation Method 1
performing delay-Doppler spectrum calculation for a received signal of each sensing signal period to obtain comprehensive delay-Doppler spectra
Implementation Method 2
determining a moving trajectory according to timing of the delay-angle-of-arrival spectra of the prioritized targets in the partitions
Data Source
AI summary
A partition trajectory target sensing method, a communication device, and a storage medium are disclosed. The method may include: performing delay-Doppler spectrum calculation for a received signal of each sensing signal period to obtain comprehensive delay-Doppler spectra of the received signal which include information of all targets, the comprehensive delay-Doppler spectrum includes angle information; performing partitioning, prioritizing, and extraction of the angle information on the comprehensive delay-Doppler spectra to obtain delay-angle-of-arrival spectra of prioritized targets in the partitions; determining a moving trajectory according to timing of the delay-angle-of-arrival spectra of the prioritized targets in the partitions; and determining a moving target according to the moving trajectory.