一种低信噪比损失SVD滤波部分频带干扰抑制算法

A low distortion algorithm based singular value decomposition for partial-band interference rejection

部分频带干扰导致宽带短波探测系统接收信噪比严重恶化,传统奇异值分解(Singular Value Decomposition)滤波方法损失了部分有用功率,影响了探测信号的完整性。本文首先推导得出干扰频带处功率成分的解析表达式,并依据干扰特性设计出一种鲁棒的干扰子空间维数估计算法以得到有用功率的稳定估计,进而提出了一种低信噪比损失SVD滤波干扰抑制算法。仿真与实测数据处理结果表明,该算法在抑制干扰的同时有效减小了信号损伤,对于短波电离层信道参数的高精度提取具有特殊的重要意义。

SNR of received signal worsens badly in the wideband shortwave probe system because of PBI（partial-band interference）.The traditional SVD filter loses the power of probe signal in the band of PBI,which results in disadvantageous influences.This paper obtains analytical expression of power composition in the band of interference,adopts a robust dimension estimation algorithm to estimate dimension of interference subspace,and deduces the stable expression of the useful power composition.Thus the paper presents a low signal-to-noise loss SVD filtering interference suppression algorithm.The simulation and data processing of our probe system both demonstrate that the new algorithm not only realizes interference rejection,but also effectively reduces power loss of probe signal.Therefore,this algorithm has special important meaning to the high accuracy estimation of the shortwave ionosphere parameter.