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机构地区:[1]解放军信息工程大学信息工程学院 [2]中国人民解放军91230部队
出 处:《数据采集与处理》2012年第2期218-224,共7页Journal of Data Acquisition and Processing
摘 要:短波信道音频干扰分布密集,导致宽带短波探测系统接收信噪比严重恶化。针对传统奇异值分解(Singular value decomposition,SVD)滤波方法损失了干扰频率处的有用功率,对信道参数的高精度提取造成了不利影响。本文深入分析了SVD滤波内部机理,推导得到SVD滤波的解析表达式,并由信号加噪声子空间得出有用功率的鲁棒估计,进而提出了一种新颖的基于功率补偿的音频干扰抑制算法。仿真与实测数据处理结果表明,该算法不仅实现了干扰抑制,而且有效减小了抑制产生的信号损伤,对于短波电离层信道参数的高精度提取具有特殊意义。Audio interference has a relatively high density. Hence the signal-to-noise ratio (SNR) of received signal is badly degraded in the wideband shortwave probe system. The traditional singular value decomposition (SVD) filter loses the power of probe signal in the frequencies of interference, thus resulting in a disadvantageous influence to the high accuracy estimation of channel parameters. The internal mechanism of SVD filter is analyzed, the analytical expression of SVD filter is derived and the useful power from signal plus noise subspace is esti- mated. Then, a novel SVD filtering algorithm is presented based on the equalization of power. The simulation and data processing of the probe system demonstrate that the new algorithm realizes audio interference rejection, and effectively reduces the power loss of probe signal.
分 类 号:TN972[电子电信—信号与信息处理]
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