Intelligent Omni-Surface Beamforming for 360° Sensing Coverage
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Solution Overview
Problem
Existing communication systems face challenges in achieving 360° omnidirectional coverage and efficient radar target detection, particularly in non-line-of-sight scenarios, where traditional methods struggle to optimize signal reflection and transmission for maximum beampattern gain.
Innovation Solution
A communication and radar target detection method utilizing an intelligent omni-surface, which involves constructing an optimization problem to maximize minimum beampattern gain by jointly optimizing transmitted beamforming vectors, radar covariance matrices, and reflected and transmitted beamforming vectors, while adhering to constraints such as minimum rate and power limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional communication systems are used, then system simplicity is maintained, but 360° omnidirectional coverage and radar target detection capability are insufficient
Solution Approach 1:
The intelligent omni-surface is designed to perform multiple functions simultaneously: it provides 360° omnidirectional communication coverage while also enabling radar target detection. Each element on the surface can independently control reflected and transmitted signals, allowing the system to serve both communication and sensing purposes with a single device structure.
Solution Approach 2:
The intelligent omni-surface acts as an intermediary between the base station and the environment, manipulating electromagnetic waves through programmable reflection and transmission coefficients. This intermediary component enables enhanced omnidirectional coverage and radar detection capabilities without requiring complex modifications to the base station itself.
2Measurement precision
If intelligent omni-surface with many elements is deployed, then 360° omnidirectional coverage and radar detection accuracy are improved, but system complexity and optimization difficulty increase
Solution Approach 1:
The intelligent omni-surface is divided into numerous independent elements, each capable of individually controlling reflection and transmission coefficients. This segmentation allows precise local optimization of signal behavior, enabling high-resolution radar target detection and accurate beamforming while maintaining manageable control through distributed element operation.
Solution Approach 2:
The system employs dynamic optimization algorithms that adaptively adjust the reflection and transmission coefficients of each element based on real-time communication and radar detection requirements. This dynamic adjustment capability allows the system to maximize minimum beampattern gain while handling the complexity of numerous elements through iterative optimization.
3Power
If reflection and transmission coefficients are optimized for maximum gain, then signal power at receiving end increases, but system constraint satisfaction becomes more difficult
Solution Approach 1:
The system optimizes the reflection and transmission coefficients as adjustable parameters to maximize the minimum beampattern gain. By treating these coefficients as optimization variables subject to specific constraints (minimum rate constraint, maximum transmit power constraint, amplitude and phase shift constraints), the system achieves enhanced receiving signal power while maintaining reliable constraint satisfaction through mathematical optimization.
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
The method provides 360° omnidirectional communication coverage and enhances radar target detection accuracy by optimizing signal reflection and transmission, ensuring customer service quality and improving the integrated sensing and communication system's ability to detect radar targets.
Implementation Method 1
each element can independently divide an incident signal into two parts, namely, a reflected signal and a transmitted signal
Implementation Method 2
each element can independently divide an incident signal into two parts, namely, a reflected signal and a transmitted signal
Implementation Method 3
a direct path signal, and reflection and transmission path signals in the communication system can be superimposed at a receiving end, thereby increasing a receiving signal power of a user end
Data Source
AI summary
It discloses a communication and radar target detection method based on an intelligent omni-surface, comprising step 1: constructing an optimization problem by maximizing a minimum beampattern gain as an objective function, the communication system being an integrated sensing and communication system based on an intelligent omni-surface; step 2: setting a constraint condition for the optimization problem constructed in the step 1, the constraint condition comprising a minimum rate constraint of a user, a maximum transmit power constraint of a base station, and amplitude and phase shaft constraints of the intelligent omni-surface; and step 3: solving the optimization problem after setting with the constraint condition to obtain an optimization solution for maximizing the minimum beampattern gain. According to the method, a capability of detecting the radar target is further improved under the condition that a quality of service of a communication user is guaranteed.