摘要
传统的幂次谱特征能简便有效地提取信号特征并测量参数,但在样本数较少、信噪比较低的情况下,特征就变得不明显了。利用最佳采样点再进行幂次的非线性运算,能够完成特征提取及载频的精确测量。经仿真实验和实际工程验证,在信噪比不大于10dB、样本数不大于1000个符号时,该方法切实、有效。
Conventional power spectrum can extract feature and estimate parameters.But it can not become evident under the condition of lower SNR and less number of symbols.Using the best sample,a method based on non-linearity operation to extract feature and accurately estimate the carrier frequency is proposed.When SNR is not lower than 10dB and the number of symbols is few than 1000,experimental results show that the proposed method is effective with low complexity and high accuracy.
出处
《航天电子对抗》
2012年第5期57-60,共4页
Aerospace Electronic Warfare
关键词
低信噪比
特征分析
载频估计
最佳采样
low SNR
feature extraction
estimate carrier frequency
the best sample
