Antenna Pattern Look-Up Table Compression for Radar AoA Validation
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Solution Overview
Problem
Current radar signal processing methods for determining Angle of Arrival (AoA) are time-consuming, prone to inaccuracies, and do not effectively utilize High Power Computing, leading to suboptimal antenna field of view radiation patterns and costly validation processes.
Innovation Solution
Generating a look-up table by selecting representative antenna patterns based on weighted criteria, calculating differences between adjacent positions, and applying compression algorithms to optimize data representation and reduce memory size, enabling efficient AoA determination and system performance validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual analysis methods are used for antenna radiation pattern evaluation, then detailed individual analysis can be performed, but the process is time-consuming and prone to inaccuracies
Solution Approach 1:
The patent segments the antenna radiation pattern data into multiple installation positions and evaluates each position independently through automated scripts. This segmentation allows parallel processing of different antenna configurations, reducing overall validation time while maintaining detailed analysis accuracy for each segment.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computer-based scripts that perform AoA calculations, pattern evaluations, and error identifications. This substitution eliminates human error and significantly reduces validation time while improving measurement precision through consistent automated computations.
2Productivity
If conventional evaluation methods are used without High Power Computing, then system validation can be performed with simple tools, but it is not cost-effective and fails to utilize distributive techniques
Solution Approach 1:
The patent divides the computational workload into separate scripts for different antenna installation positions and evaluation tasks. Each script handles specific computations independently, enabling parallel execution on High Power Computing systems with distributed memory architectures, thereby improving productivity while managing computational complexity through modular design.
Solution Approach 2:
The patent creates universal evaluation scripts that can process multiple antenna types, installation positions, and radiation pattern configurations through a single automated framework. This multi-functionality allows the system to handle diverse validation scenarios without requiring separate complex procedures for each case, improving productivity across different application scenarios.
3Measurement precision
If current practice limits frequency and polarization analyses by compensating with interpolation and extrapolation, then data collection can be reduced, but accuracy of performance representation deteriorates
Solution Approach 1:
The patent performs preliminary automated evaluations at multiple frequency points and polarization configurations during the data collection phase. By pre-computing these parameters across the full measurement range, the system eliminates the need for subsequent interpolation and extrapolation, maintaining high measurement precision without requiring excessive data volume through targeted automated sampling.
4Reliability
If thousands of performance characterizations are required to meet customer schedules, then comprehensive validation can be performed, but conventional methods cannot complete the analysis in time
Solution Approach 1:
The patent segments comprehensive validation into thousands of individual automated evaluation scripts, each handling a specific antenna installation position and frequency configuration. These segmented tasks can be executed in parallel on High Power Computing systems, enabling complete validation of all performance characterizations to be completed within customer schedules while maintaining high reliability through thorough coverage.
Solution Approach 2:
The patent replaces time-consuming manual validation processes with automated computational scripts that can rapidly evaluate thousands of performance scenarios. This substitution enables comprehensive system performance validation to be completed in fractions of the time required by conventional methods, meeting customer schedules without compromising validation reliability.
Data Source
AI summary
Systems and methods are disclosed herein which facilitate generating and utilizing look-up tables for determining an AoA of a radar signal received from an emitter. In example embodiments, the systems and methods may involve a selectivity process for selecting, for each of a plurality of installation positions, an installation-representative antenna pattern as selected from an option set. Thus, the selectivity process may, for example, include indexing a plurality of data sets of antenna patterns associated with an antenna position and selecting a most representative data set from at least one of the indexed data sets. In some embodiments, the system and methods may further apply a compression algorithm which identifies changes in slope with respect to adjacent pairs of antenna positions (vertex pairs) in the look-up table. The algorithm may then discard any antenna position (any vertex) that does not meet a slope difference threshold with respect to changes in the slope.