现代雷达2026，Vol.48Issue(5)：23-30,8.DOI:10.16592/j.cnki.1004-7859.20230907002
基于二阶Keystone变换与遗传算法的相参积累算法
Coherent Integration Algorithm Based on the Second-order Keystone Transform and Genetic Algorithm
范培毅 1原浩娟 1赵婵娟 1郭一帆 1周金亮1
作者信息
- 1. 上海航天电子技术研究所,上海 201109
- 折叠
摘要
Abstract
To improve the detection performance of radar against high-speed maneuvering targets,coherent integration techniques are commonly employed to enhance the signal-to-noise ratio.However,traditional coherent integration algorithms may introduce range migration and Doppler frequency migration phenomena,which,without correction,will degrade the coherent integration effect and severely affect radar detection performance.For the signal model of high-speed maneuvering targets with uniform acceler-ation,a coherent integration algorithm based on the combination of second-order Keystone transform and genetic algorithm(SKT-GA)is proposed in the paper.In this algorithm,range curvature is firstly eliminated by means of SKT,and the radial acceleration of target is estimated using GA,thereby compensating for the corresponding Doppler frequency modulation phase.Then,SKT is applied to correct range migration,while GA is used to estimate the velocity ambiguity number and compensate for its corresponding ambiguity phase.Finally,coherent integration is applied to multi-pulse echoes,thereby improving the detection probability and en-abling radar to detect high-speed maneuvering targets.Both theoretical analysis and simulation results demonstrate that the pro-posed algorithm possesses good effectiveness and efficiency.关键词
相参积累/二阶Keystone变换/遗传算法/参数估计/速度模糊Key words
coherent integration/second-order Keystone transform(SKT)/genetic algorithm(GA)/parameter estimation/velocity ambiguity分类
信息技术与安全科学引用本文复制引用
范培毅,原浩娟,赵婵娟,郭一帆,周金亮..基于二阶Keystone变换与遗传算法的相参积累算法[J].现代雷达,2026,48(5):23-30,8.
