摘要
针对欠密度流星余迹干扰影响天波超视距雷达目标检测的问题,提出了基于总体最小二乘旋转不变估计信号参数(Total Least Squares-Estimating Signal Parameter via Rotational Invariance Techniques TLS-ESPRIT)的欠密度流星余迹干扰抑制算法.首先应用复数据经验模式分解估算流星余迹干扰的位置,并将该位置的回波数据组成Hankel矩阵,然后采用TLS-ESPRIT方法求解Hankel矩阵,解得流星余迹干扰的时域回波,最后从回波数据中去除流星余迹干扰的时域回波,得到流星余迹干扰抑制后的回波数据.与现有流星余迹抑制算法相比,该方法减少了流星余迹干扰的残余和提高了目标的信杂比(SCNR).
To solve the problem that under-dense meteor trail interference can decline the performance in target detection of over-the-horizon radar(OTHR),under-dense meteor trail interference suppression algorithm based on TLS-ESPRIT is proposed.Firstly,complex empirical mode decomposition(CEMD)is utilized to estimate the position of meteor trail interference,and Hankel matrix is constructed by the echo data at the position of meteor trail interference.Then the Hankel matrix is solved by TLSESPRIT,so echo data of meteor trail interference is obtained in time domain.Finally,time domain echo data of meteor trail interference is subtracted from echo data,thus echo data in which meteor trail interference has been refrained is obtained.Comparedwith existing meteor trail interference suppression methods,the method proved by this article could reduce the remnant of meteor trail interference and improve signal to clutter plus noise ratio(SCNR)of target.
出处
《电波科学学报》
EI
CSCD
北大核心
2015年第1期128-134,共7页
Chinese Journal of Radio Science
基金
部预研基金(9140A07010713BQ02025
CASC04-02)
博士点基金(20113219110018)
国家自然科学基金(61302188)
江苏省自然科学基金(BK20131005)