摘要
针对低信杂比(SCR,signal to clutter ratio)情况下,采用传统形态成分分析(MCA,morphological component analysis)方法抑制风电场杂波时出现杂波抑制性能下降的问题,基于杂波与飞机目标回波在不同变换域具有不同稀疏特性的特点,提出基于基追踪降噪(BPDN,basis pursuit de-noising)的风电场杂波抑制方法。首先,基于BPDN方法在时频域重构风电场杂波,并将重构后的杂波信号从回波信号中剔除;其次,利用BPDN方法对剔除杂波后的回波在频域提取飞机目标信号,实现低SCR情况下风电场杂波抑制。仿真及实测数据实验结果验证了该方法的有效性。
Aiming at the problem of poor performance of wind farm clutter suppression with the morphological component analysis(MCA)method in low signal to clutter ratio(SCR),the paper proposes clutter suppression algorithm based on BPDN(the basis pursuit de-noising)with regard to different sparse characteristic for the clutter and airplane target in different transform domains.Firstly,based on BPDN method,the wind farm clutter is reconstructed in the time-frequency domain and eliminated from the observed echoes.Secondly,BPDN is utilized to extract the aircraft target signal in the frequency domain and to achieve wind farm clutter suppression in low SCR.The experiment results of simulation and measured data verify the effectiveness of the proposed method.
作者
何炜琨
毕峰华
张莹
李爽
HE Weikun;BI Fenghua;ZHANG Ying;LI Shuang(Tianjin Key Lab for Advanced Signal Processing,CAUC,Tianjin 300300,China;Leiyin Electronic Technology Development Company of Beijing,Beijing 100071,China)
出处
《中国民航大学学报》
CAS
2022年第5期8-14,共7页
Journal of Civil Aviation University of China
基金
国家自然科学基金项目(62141108)
中国民航大学国家自然科学基金配套专项(3122022PT22)。
关键词
风电场
杂波抑制
低信杂比
基追踪降噪
形态成分分析
wind farm
clutter suppression
low signal to clutter ratio(SCR)
basis pursuit de-noising(BPDN)
morphological component analysis(MCA)
