Ultra-Wideband Radar Volume Visualization Channel Selection
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Solution Overview
Problem
Multi-static ultra-wideband radar imaging systems face challenges in volume visualization due to image distortion caused by uneven antenna dispersion and dual polarization, leading to unproportional representation of channels in the imaged volume.
Innovation Solution
A method and system for selecting and processing spatial data channels in ultra-wideband radar imaging systems, where channels are chosen based on a contribution criterion, relative distance, and shape criteria to minimize distortion, allowing for effective volume visualization without the need for antenna steering, enabling simultaneous dual polarization scanning and detection of multiple targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all spatial data channels are processed for volume visualization, then complete target information is obtained, but image distortion increases due to uneven antenna dispersion and dual polarization
Solution Approach 1:
The patent segments the spatial data channels into multiple groups based on their contribution to image quality. Instead of processing all channels uniformly, the system divides channels into different categories (e.g., high-contribution channels near the boresight direction versus low-contribution channels at larger angles) and processes them differently, thereby reducing overall image distortion while preserving essential target information.
Solution Approach 2:
The patent applies local quality by assigning different processing weights to different spatial data channels based on their specific characteristics. Channels with better geometric contribution (e.g., those closer to the boresight direction) are given higher weight, while channels with poorer contribution are down-weighted or excluded, thereby improving local image quality in critical regions without sacrificing overall information completeness.
2Manufacturing precision
If channel selection is performed to minimize distortion, then image resolution is improved, but processing time increases due to additional selection steps
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing the geometric contribution characteristics of each spatial data channel before actual volume visualization. The system pre-determines which channels will contribute most to image quality based on antenna geometry and polarization characteristics, creating a lookup table or priority list that guides subsequent processing, thereby avoiding time-consuming real-time calculations during imaging.
Solution Approach 2:
The patent applies partial action by selecting and processing only the most contributory spatial data channels rather than all available channels. By identifying a subset of channels that provide the majority of useful information (e.g., top 70-80% contributing channels), the system achieves near-optimal image resolution with significantly reduced processing time compared to exhaustive processing of all channels.
3Adaptability or versatility
If multi-static radar configuration is used, then spatial diversity and simultaneous dual polarization scanning are achieved, but device complexity increases
Solution Approach 1:
The patent merges multiple functions into a unified processing framework. The system combines handling of multiple polarizations, multiple spatial channels, and multi-static geometry into a single integrated volume visualization algorithm, thereby achieving spatial diversity and dual polarization scanning without proportionally increasing system complexity. The unified approach shares computational resources and processing logic across all these functions.
Solution Approach 2:
The patent implements universality by designing a volume visualization system that can handle multiple radar configurations (mono-static, bi-static, multi-static) and multiple polarization states through a single flexible algorithmic framework. This universal processor adapts to different antenna geometries and polarization combinations without requiring separate specialized processing paths, thereby reducing overall system complexity while maintaining versatility.
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
This approach minimizes image distortion, enhances image resolution, and allows for effective volume visualization in multi-static radar systems, particularly for movable antennas with dynamically variable shapes, while maintaining the benefits of multi-static techniques like simultaneous dual polarization scanning.
Implementation Method 1
Ultra-wideband (UWB) is a term for a classification of signals that occupy a substantial bandwidth relative to their centre frequencies
Implementation Method 2
receiving electromagnetic return signals resulting from the probe signals
Data Source
AI summary
There are provided an ultra-wideband radar imaging system comprising an antenna with at least one receiver and a plurality of transmitters operating in multi-static mode, method of operating thereof and volume visualization unit to be used in conjunction with the multi-static ultra-wideband radar imaging system. The method comprises: receiving by said at least one receiver a plurality of signals, each respectively representing return data in a channel associated with the receiver and one of the transmitters among said plurality of transmitters, thus giving rise to a plurality of spatial data channels; among said plurality of spatial data channels selecting data channels for further processing; and providing volume visualization by processing data corresponding merely to the selected spatial data channels.