QPSO Antenna Pattern Synthesis for SAR Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional particle swarm optimization (PSO) algorithms for antenna pattern synthesis in satellite synthetic aperture radar (SAR) systems require separate calculations for position and velocity vectors, limiting their application in real-time antenna pattern generation.
Innovation Solution
The use of quantum-behaved particle swarm optimization (QPSO) algorithm, which calculates signal amplitude and phase based on position vectors only, improving convergence rate and efficiency by eliminating the need for velocity vectors and simplifying calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If classical PSO algorithm is used for antenna pattern synthesis, then optimization performance is improved, but calculation complexity increases due to separate position and velocity vector calculations
Solution Approach 1:
The patent extracts and removes the velocity vector calculation component from the classical PSO algorithm, retaining only the position vector calculation. This simplification maintains the optimization performance while significantly reducing calculation complexity, enabling real-time antenna pattern synthesis applications.
Solution Approach 2:
The patent replaces the mechanical velocity vector concept with a quantum-behaved position-only optimization approach. By substituting the traditional mechanical PSO framework with a quantum-inspired algorithm that operates solely on position vectors, the system achieves both simplified calculations and maintained optimization effectiveness.
2Reliability
If classical PSO algorithm is used for antenna pattern synthesis, then optimization capability is maintained, but real-time generation capability deteriorates due to separate position and velocity calculations
Solution Approach 1:
By extracting and eliminating the velocity vector calculation from the algorithm, the patent reduces the computational burden to only position vector operations. This extraction enables the system to achieve real-time antenna pattern generation while preserving the essential optimization capability through position-only quantum-behaved search.
3Productivity
If quantum-behaved PSO algorithm is used, then calculation efficiency is improved by using position vectors only, but algorithm complexity increases due to quantum behavior modeling
Solution Approach 1:
The patent introduces quantum behavioral characteristics into the optimization algorithm, replacing the classical mechanical PSO framework. Although quantum behavior modeling adds theoretical complexity, it eliminates the need for velocity vector calculations, resulting in net gain in calculation efficiency for antenna pattern synthesis applications.
Data Source
AI summary
Provided is an antenna pattern synthesizing apparatus that synthesizes an antenna pattern by applying quantum-behaved particle swarm optimization (QPSO) algorithm of a satellite synthetic aperture radar (SAR), the antenna pattern synthesizing apparatus including a designer configured to design a mask template based on a performance of an SAR system including an antenna array in which a plurality of antennas are arranged in a multidimensional structure, and a generator configured to calculate a signal amplitude and a signal phase for the antenna array to generate a first antenna pattern using QPSO, and generate the first antenna pattern in the designed mask template based on the calculated signal amplitude and the calculated signal phase.