射电天文自适应抗干扰算法研究
A Study of Methods of Adaptive Cancellations of Radio Frequency Interferences in Radio Astronomy
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摘要: 全球性卫星导航系统占用了L 波段在1.1 GHz~1.6 GHz 之间约150 M 带宽, 严重限制了射电天文在该频段的观测。将通信、雷达等领域的自适应滤波方法应用于消除"北斗二号"卫星信号给中性氢(HI)21 cm 谱线观测带来的射频干扰(Radio Frequency Interference, RFI)。为了提高最小均方误差(Least Mean Square, LMS) 自适应算法的性能, 在对一类传统变步长最小均方误差算法研究的基础上, 提出了步长与误差信号之间的一种新的函数关系, 进一步改善了自适应滤波算法的性能。在相同收敛速度或者相同稳态误差的前提下, 改进后的算法具有更小的稳态误差或者更快的收敛速度。计算机仿真实验结果与理论分析一致, 验证了改进后的变步长自适应滤波算法在射电天文射频干扰消除中的性能优于传统算法。Abstract: The Global navigation satellite systems use a part of the L band.The part is within 1.1GHz to 1.6GHz and has a width of about 150MHz.This severely interferes with radio astronomy observations in the frequency range of the part.In this paper, we discuss applying adaptive filtering methods designed for radio communication and radar technology to reduction of radio frequency interferences (RFIs) caused by a Beidou satellite in observations of neutral hydrogen (HI) 21cm spectral line.In order to improve the performance of the LMS adaptive filtering algorithm, we have derived a new type of functions relating step sizes and error signals based on our study of a class of conventional LMS algorithms of variable step sizes.Using functions of the new type improves the performance of adaptive filtering.The improvement is either in faster convergence or in smaller steady-state deviation.Our numerical simulation results are consistent with our theoretical analysis of the application of new functions in adaptive filtering for reducing RFI in radio astronomy, which validates the performance improvement.