电子科技大学学报2024，Vol.53Issue(4)：503-510,8.DOI:10.12178/1001-0548.2023218
基于卷积波束空间传播算子的FDA-MIMO雷达角度、距离估计算法
Angle Range Estimation Algorithm for FDA-MIMO Radar Based on Convolutional Beamspace Propagator Method
摘要
Abstract
Addressing the issues of high dimensional received data and complex engineering implementation for FDA-MIMO (Frequency Diverse Array-Multiple Input Multiple Output) radar, this paper proposes an algorithm to estimate angle and range of target in the convolutional beamspace. Firstly, based on the orthogonality between the transmitted waveforms, the echo signal corresponding to each transmitted waveform is passed through a set of filters that satisfy the Nyquist property. Secondly, the output data of the convolutional steady state of each filter is decimated to reduce the data dimensionality. Then, an angle and range estimation algorithm using propagator method is developed. The unambiguous angle and range estimates are obtained based on the passband characteristics of the convolutional filters and the coupling relationship between the angle and range of FDA. Finally, numerical simulations are conducted to validate the effectiveness of the proposed convolutional beamspace algorithm.关键词
卷积波束空间/解模糊/频率分集阵列/MIMO雷达/参数估计Key words
convolutional beamspace/disambiguation/frequency diverse array/MIMO radar/parameter estimation分类
信息技术与安全科学引用本文复制引用
江胜利,王鞠庭,杨晶..基于卷积波束空间传播算子的FDA-MIMO雷达角度、距离估计算法[J].电子科技大学学报,2024,53(4):503-510,8.基金项目
安徽省高等学校自然科学重点项目(KJ2021A1138) （KJ2021A1138）
安徽省高等学校省级质量工程项目(2021jyxm1236) （2021jyxm1236）
合肥师范学院引进高层次人才科研启动基金(2020rcjj24,2022rcjj03) （2020rcjj24,2022rcjj03）
