Radar Image Simulation Parallel Processing
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Solution Overview
Problem
Current radar simulation technologies lack flexibility and efficiency in utilizing multi-core CPUs and massive parallel platforms, leading to suboptimal performance in generating realistic radar images, especially in complex environments like military Full Mission Simulators.
Innovation Solution
A computer-implemented method and system that concurrently and in parallel calculates the power reflected by terrain and convolution power using multiple processors, including dividing terrain into range bins and assigning them to respective processors, allowing for efficient utilization of hardware resources such as multi-core CPUs and GPUs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If prior art solutions target specific hardware, then hardware optimization is achieved, but flexibility is lost
Solution Approach 1:
The patent implements a universal radar simulation system that can operate on multiple hardware platforms (single-core CPU, multi-core CPU, GPU) through a unified architecture. The system uses abstracted hardware interfaces and standardized data structures that allow the same simulation code to run efficiently on different hardware without requiring hardware-specific modifications, thus achieving both high productivity and hardware flexibility
2Productivity
If serial implementation is used, then code simplicity is maintained, but processing speed is insufficient for real-time simulation
Solution Approach 1:
The patent divides the radar simulation computation into distinct segments: terrain database management, radar signal generation, echo calculation, and image rendering. Each segment can be independently optimized and executed in parallel on different hardware units. The terrain is divided into range bins that can be processed concurrently, and the simulation timeline is segmented into discrete steps that enable parallel computation while maintaining manageable complexity
Solution Approach 2:
The patent introduces intermediate data structures and buffer mechanisms that facilitate parallel computation. Range bin results are accumulated in intermediate arrays before final image synthesis, and communication between different processing units is managed through standardized intermediate interfaces. This intermediary layer enables complex parallel operations while maintaining a relatively simple overall system architecture
3Area of stationary object
If database size is increased for larger coverage area, then simulation coverage is improved, but processing time increases
Solution Approach 1:
The patent segments the terrain database into range bins (distance intervals) and angular sectors that can be processed independently and in parallel. This segmentation allows the system to handle large terrain databases by dividing them into manageable chunks that can be processed concurrently on multi-core CPUs or GPUs, thus maintaining fast processing speeds even with extensive coverage areas
Solution Approach 2:
The patent performs preliminary organization of terrain data into optimized data structures (range bins, lookup tables) before simulation execution. Terrain features are pre-categorized and stored in formats that enable rapid retrieval during simulation, reducing processing time when handling large coverage areas. The system pre-computes certain terrain properties that can be reused across multiple simulation steps
Data Source
AI summary
A computer-implemented method for simulating an image of a terrain scanned by a simulated radar beam generated by a simulated radar antenna, comprising: calculating on a first processor a power reflected by the terrain while an orientation of the simulated radar antenna is varied within a scanning antenna range; calculating on a plurality of second processors a convolution power for the terrain while the orientation of the simulated radar antenna is varied within the scanning antenna range, said calculating on a first processor and said calculating on a plurality of second processors being performed concurrently and in parallel; combining the power reflected by the terrain and the convolution power, thereby obtaining combined data; generating a radar image using the combined data; and outputting the radar image.