GNSS-R外辐射源雷达微弱目标回波盲检测方法
2024,46(5):121-130
温媛媛
中国空间技术研究院西安分院 空间微波通信全国重点实验室, 陕西 西安 710100，wyy031980@163.com
白琳
中国空间技术研究院西安分院, 陕西 西安 710100
尚社
中国空间技术研究院西安分院 空间微波通信全国重点实验室, 陕西 西安 710100
宋大伟
中国空间技术研究院西安分院 空间微波通信全国重点实验室, 陕西 西安 710100
王俊
西安电子科技大学 雷达信号处理国家重点实验室, 陕西 西安 710071
中国空间技术研究院西安分院 空间微波通信全国重点实验室, 陕西 西安 710100，wyy031980@163.com
白琳
中国空间技术研究院西安分院, 陕西 西安 710100
尚社
中国空间技术研究院西安分院 空间微波通信全国重点实验室, 陕西 西安 710100
宋大伟
中国空间技术研究院西安分院 空间微波通信全国重点实验室, 陕西 西安 710100
王俊
西安电子科技大学 雷达信号处理国家重点实验室, 陕西 西安 710071
摘要：
针对传统全球导航卫星系统反射(global navigation satellite system-reflected,GNSS-R)外辐射源雷达系统所采用的双通道配置结构在信号处理上运算量较大且在工程实现上硬件成本较高的问题, 提出一种基于高阶循环累积量的单通道GNSS-R外辐射源雷达微弱目标回波盲检测方法。利用主成分分析方法将强直达波信号从单通道接收的混合信号中抽取出来; 通过直达波信号的高阶循环频率估计出微弱回波信号的高阶循环频率; 基于微弱回波信号高阶循环频率与其他信号不同的特性将其从单通道混合信号中提取出来,通过匹配滤波实现目标检测。实验结果表明, 所提方法在没有先验信息的情况下能有效提取出微弱目标的回波信号, 且与传统二维匹配滤波目标检测方法相比有更好的目标检测性能。
针对传统全球导航卫星系统反射(global navigation satellite system-reflected,GNSS-R)外辐射源雷达系统所采用的双通道配置结构在信号处理上运算量较大且在工程实现上硬件成本较高的问题, 提出一种基于高阶循环累积量的单通道GNSS-R外辐射源雷达微弱目标回波盲检测方法。利用主成分分析方法将强直达波信号从单通道接收的混合信号中抽取出来; 通过直达波信号的高阶循环频率估计出微弱回波信号的高阶循环频率; 基于微弱回波信号高阶循环频率与其他信号不同的特性将其从单通道混合信号中提取出来,通过匹配滤波实现目标检测。实验结果表明, 所提方法在没有先验信息的情况下能有效提取出微弱目标的回波信号, 且与传统二维匹配滤波目标检测方法相比有更好的目标检测性能。
基金项目：
重点实验室基金资助项目(6142411332103,HTKJ2022KL504005)
重点实验室基金资助项目(6142411332103,HTKJ2022KL504005)
Blind detection method of weak target echo in GNSS-R passive radar
WEN Yuanyuan
National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology Xi′an, Xi′an 710100, China,wyy031980@163.com
BAI Lin
China Academy of Space Technology Xi′an, Xi′an 710100, China
SHANG She
National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology Xi′an, Xi′an 710100, China
SONG Dawei
National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology Xi′an, Xi′an 710100, China
WANG Jun
National Key Laboratory of Radar Signal Processing, Xidian University, Xi′an 710071, China
National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology Xi′an, Xi′an 710100, China,wyy031980@163.com
BAI Lin
China Academy of Space Technology Xi′an, Xi′an 710100, China
SHANG She
National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology Xi′an, Xi′an 710100, China
SONG Dawei
National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology Xi′an, Xi′an 710100, China
WANG Jun
National Key Laboratory of Radar Signal Processing, Xidian University, Xi′an 710071, China
Abstract：
Aiming at the problem that the dual-channel configuration of the traditional GNSS-R(global navigation satellite system-reflected) passive radar system has a large amount of computation in signal processing and a high hardware cost in engineering implementation, a blind detection method of the weak target echo of single-channel GNSS-R passive radar based on higher-order cyclic cumulant was presented. Strong direct wave signal was extracted from the single-channel mixed signal using the principal component analysis method. Higher-order cyclic frequency of weak target echo was estimated by higher-order cyclic frequency of direct wave signal. Weak echo signal was extracted from the single-channel mixed signal based on its different characteristics of higher-order cyclic frequency from other signals, so that the object detection was realized by matched filtering. Simulation results show that the proposed method can effectively extract the weak target echo without prior information, and has better target detection performance compared with the traditional two-dimensional matched filter target detection method.
Aiming at the problem that the dual-channel configuration of the traditional GNSS-R(global navigation satellite system-reflected) passive radar system has a large amount of computation in signal processing and a high hardware cost in engineering implementation, a blind detection method of the weak target echo of single-channel GNSS-R passive radar based on higher-order cyclic cumulant was presented. Strong direct wave signal was extracted from the single-channel mixed signal using the principal component analysis method. Higher-order cyclic frequency of weak target echo was estimated by higher-order cyclic frequency of direct wave signal. Weak echo signal was extracted from the single-channel mixed signal based on its different characteristics of higher-order cyclic frequency from other signals, so that the object detection was realized by matched filtering. Simulation results show that the proposed method can effectively extract the weak target echo without prior information, and has better target detection performance compared with the traditional two-dimensional matched filter target detection method.
收稿日期：
2022-05-05
2022-05-05
