摘要
针对复杂战场环境下,接收机周围可能存在多个照射源,并且照射源基本信息未知,无法区分感兴趣信号和干扰信号,无法得到准确的感兴趣基站方位信息的问题,提出基于循环平稳的感兴趣基站到达角估计方法.首先针对被动接收情况下循环平稳信息无法获取的问题,提出利用接收信号获得各基站信号的循环频率信息的方法.随后提出利用感兴趣信号的循环频率增强感兴趣信号,同时抑制其他杂波干扰.最后仿真验证文中方法能够获得比常规方法更准确的到达角估计,并适用于阵列天线小于信号源个数的欠定情况.
Because in the unknown complex battlefield environment, there may be multiple illuminators around the receiver, the basic information on the illuminator is unknown, and it is impossible to distinguish between interested and interfering signals, so that it is impossible to obtain accurate direction information on the interested station, we propose a cyclostianarity-based direction of arrival estimation method. First, for unknown cyclostiaonarity in the passive bistatic radar, we propose to use the cyclic autocorrelation function of the received signal to obtain cycle-frequency information on each base station signals. Then the cyclostianarity of the signal of interest is applied to enhance the signal of interest, while suppressing other clutters. Finally, the simulation method verifies that the proposed method can obtain more accurate direction estimation than the conventional method, and that it is also applicable to the underdetermined case where the number or＂ antennas is less than the number of sources.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2015年第1期91-97,共7页
Journal of Xidian University
基金
国家自然科学基金资助项目(61372136)
教育部创新团队计划资助项目(IRT0954)
关键词
外辐射源雷达
认知雷达
频偏
直达波提纯
目标检测
循环平稳
passive bistatic radar
cognitive radar
frequency offset
direct signal reconstruction
target detection
eyclostationarity
