基于匹配傅里叶变换的相位解污染算法  

An Algorithm Based on the Matched Fourier Transform to Compensate Phase Contamination

作　　者：胡进峰[1] 艾慧[1] 李万阁 李会勇[1] 夏威[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都611731

出　　处：《雷达科学与技术》2015年第3期291-295,301,共6页Radar Science and Technology

基　　金：国家自然科学基金(No.61101172;61371184;61101173)

摘　　要：电离层的不稳定性会造成天波雷达回波信号频谱扩展,进行相干积累之前需要进行电离层相位解污染处理,抑制回波频谱展宽。传统的HRR(Hankel Rank Reduction)算法解污染算法需要已知回波中的信号成分,由于实际信号的复杂性,获得该先验知识比较困难,先验信息不足时估计效果不好。注意到接收回波中杂波噪声比很高,可以直接采用三次相位函数来分段拟合回波信号,然后基于匹配傅里叶变换估计相位污染函数,能获得准确的估计结果。仿真结果表明,相比传统的HRR算法,该算法不需要已知回波信号成分,具有更好的电离层相位解污染效果。Ionospheric instability will cause signal spectrum expansion in sky-wave over-the-horizon ra- dar. So ionospheric phase decontamination is necessary before coherent integration to suppress the spectrum expansion. The traditional Hankel rank reduction（HRR） phase decontamination method requires the prior in- formation of signal components. The real signal is complicated and it is difficult to obtain the prior informa- tion. The estimation is invalid if lacking of priori information. This paper notes that the clutter noise ratio of the received echo is high, the cubic phase function can be used to fit the piecewise signal. Then the matched Fourier transform is adopted to estimate the phase contamination function. The algorithm achieves the accu- rate phase contamination function. Simulation shows that the proposed algorithm does not require the prior information and has better phase decontamination performance compared with the traditional HRR algorithm.

关 键 词：天波雷达 电离层 相位污染 匹配傅里叶变换 

分 类 号：TN011.2[电子电信—物理电子学] TN957