Adaptive Ray Launching for Multipath Radar Response Simulation
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Solution Overview
Problem
Existing electromagnetic response models for radar simulations are too complex or too slow, and fail to accurately simulate real-world electromagnetic responses, particularly in dynamic scenes, due to issues with vertical and horizontal multipath effects and inefficient resource usage.
Innovation Solution
An adaptive ray-launching process is employed to launch sparse electromagnetic rays, calculate angular ray densities, and consider multipath effects, followed by launching denser rays where necessary, while disregarding undetectable rays, using image theory and modified ray-tracing to improve simulation accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniformly distributed sparse electromagnetic rays are launched at targets, then computational resources and time are reduced, but the fidelity of electromagnetic response simulation deteriorates
Solution Approach 1:
The patent applies local quality by varying the density of electromagnetic rays based on the specific requirements of different simulation scenarios. Sparse rays are used for far-range targets where high fidelity is less critical, while dense rays are used for close-range targets or specific regions of interest where high electromagnetic response fidelity is required. This localized adjustment of ray density optimizes the balance between computational efficiency and simulation accuracy.
2Measurement precision
If dense electromagnetic rays are launched to maintain fidelity for far-range targets, then electromagnetic response accuracy is improved, but computational resources and time increase
Solution Approach 1:
The patent implements dynamics by making the ray density adaptive rather than static. The system dynamically adjusts the number and distribution of electromagnetic rays based on real-time calculations of angular ray densities and propagation path lengths. This allows the simulation to maintain high fidelity for far-range targets when necessary while automatically reducing ray density in regions where it is not needed, thereby optimizing computational resources.
3Measurement precision
If multipath propagation paths are considered, then electromagnetic response accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex multipath propagation analysis into manageable components. The system segments propagation paths by length and type, calculating angular ray densities for different path categories separately. This segmentation allows the complex problem of multipath analysis to be broken down into discrete, computable segments that can be processed efficiently while maintaining overall accuracy.
4Manufacturing precision
If angular ray densities are calculated based on propagation path lengths, then ray distribution accuracy is improved, but computational time increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing propagation path lengths and angular ray densities for different target configurations and scenarios. These pre-computed values are then reused in subsequent simulations, eliminating the need to recalculate them from scratch each time. This preliminary computation significantly reduces the computational time required for ray density distribution while maintaining 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
This approach enables an accurate and efficient electromagnetic response model that includes multipath effects, reducing computational resources and time, and enhances the fidelity of radar simulations.
Implementation Method 1
responsive to the sparse electromagnetic rays reflecting from the one or more targets, determining angular ray densities for dense electromagnetic rays to be launched towards the one or more targets
Data Source
AI summary
This document describes techniques and systems for an adaptive ray-launcher for an electromagnetic response simulator. An adaptive ray-launching process is used to shoot electromagnetic rays at targets in a simulated environment. Uniformly distributed sparse electromagnetic rays are launched at the targets and the angular ray densities relative to the targets are calculated. Several propagation paths that include multipath effects are considered to determine the angular ray densities. Based on the length of the propagation paths of sparse electromagnetic rays with multipath related to each target, denser electromagnetic rays can be launched. The denser electromagnetic rays enable the fidelity related to targets in a far-range to be similar to the fidelity of closer targets. Additionally, any sparse electromagnetics that cannot be detected by a sensor can be disregarded. In this manner, an efficient and accurate electromagnetic response model may be approximated.