Iterative Millimeter Wave Sensing for Target Accuracy
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Solution Overview
Problem
Current millimeter wave communication and sensing systems face challenges in achieving accurate environmental sensing with limited system resources, leading to coarse and fuzzy imaging results due to the large number of environmental information variables, especially in scenarios like urban wireless communication where resources are constrained.
Innovation Solution
An iterative focused millimeter wave integrated communication and sensing method is proposed, which converts environmental sensing into a compressed sensing reconstruction problem using pilot signals and a multi-beam multi-carrier millimeter wave channel model, employing an approximate message passing method to iteratively refine sensing results and focus on specific targets by removing background scatterers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If environmental sensing is performed using limited system resources (number of users, base station receiving antennas, and subcarriers), then the system resource expenditure is constrained, but the sensing accuracy deteriorates and only coarse sensing results can be achieved
Solution Approach 1:
The patent divides the environmental sensing task into two stages: first performing coarse sensing of the entire environment, then identifying a region of interest and performing focused sensing on that specific region. This segmentation allows the system to allocate limited resources efficiently - using fewer resources for the initial coarse scan and concentrating resources on the focused sensing of the identified region, thereby achieving high sensing accuracy without requiring excessive system resources.
Solution Approach 2:
The patent performs preliminary coarse sensing of the environment before conducting focused sensing on specific targets. This preliminary action identifies potential regions of interest and allows the system to pre-position its sensing resources. By performing this preliminary environmental assessment first, the system can then allocate its limited resources more effectively to the subsequent focused sensing phase, avoiding the need to expend maximum resources on every possible sensing task simultaneously.
2Area of stationary object
If a large number of environmental information variables are processed to achieve comprehensive environmental sensing, then the coverage of sensing is improved, but the system resource expenditure increases significantly
Solution Approach 1:
The patent segments the sensing process into a broad coarse sensing phase that covers the entire environment with minimal resources, followed by a focused sensing phase that concentrates resources on a specific region of interest. This segmentation enables the system to maintain wide sensing coverage through the coarse phase while achieving detailed information about specific areas through the focused phase, without requiring maximum resources across the entire environment simultaneously.
Solution Approach 2:
The patent applies partial action by performing comprehensive coarse sensing at a lower resolution level across the entire environment, then applying excessive (concentrated) resources only to the specific region of interest identified in the first phase. This approach allows the system to maintain awareness of the broader environment while investing significant resources only where needed, optimizing the trade-off between coverage and resource expenditure.
Data Source
AI summary
Provided is an iterative focused millimeter wave integrated communication and sensing method, which converts an environmental sensing problem into a compressed sensing reconstruction problem, and realizes the initial coarse sensing of the environment based on an approximate message passing algorithm; according to a background determining method, the present disclosure divides and determines a target object, removes the influence of background scatters on a receiving signal, and removes the background scatters repeatedly and iteratively, so as to obtain a more accurate focus sensing result of the target object. Compared with existing environment sensing reconstruction algorithms, the iterative focused millimeter wave environment sensing algorithm of the present disclosure significantly improves the accuracy of environment sensing, solves the problem that a large-scale environment cannot be accurately sensed due to limited system resources, and provides an efficient environment sensing method for the future design of integrated sensing and communication systems.