单通道多分量伪码调制脉冲串信号分离及参数提取

朱航; 张淑宁; 赵惠昌

doi:10.11999/JEIT141317

单通道多分量伪码调制脉冲串信号分离及参数提取

doi: 10.11999/JEIT141317

2.
(南京理工大学电子工程与光电技术学院南京 210094) ②(解放军73015部队湖州 313000)

基金项目:

国家自然科学基金(61301216)和省部级基金

计量
- 文章访问数: 1339
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- 被引次数: 0
出版历程
- 收稿日期: 2014-10-15
- 修回日期: 2015-02-04
- 刊出日期: 2015-07-19

Single Channel Source Separation and Parameters Estimation of Multi-component Pseudo-random Code Modulated Pulse Train

2.
(School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

摘要

摘要: 该文针对几种伪随机码调制脉冲串信号，包括伪随机二相编码(PRBC)脉冲串信号、伪随机脉位调制(PPM)脉冲串信号及伪随机脉位调制与伪随机二相编码复合(PRBC-PPM)脉冲串信号，为解决单通道多分量情况下的信号分离和参数提取问题，提出基于奇异值比谱和周期积累的载频及伪码波形估计方法。通过构建奇异值比谱估计广义周期并完成周期积累，再取平方进行FFT变换，并以去载频处理后信号的实部累加和为衡量标准，精确估计出载频并完成脉位波形估计。最后通过内积计算估计出幅度和初始相位。仿真与分析说明该文方法在不同信噪比下的有效性。
- 信号处理 /
- 单通道多分量信号 /
- 伪码调制脉冲串信号 /
- 参数提取 /
- 信号分离 /
- 广义周期
Abstract: For the several kinds of pseudo-random code modulated pulse trains-the Pseudo-Random Binary Code (PRBC) pulse train, including the Pulse Position Modulation (PPM) pulse train, the Pseudo-Random Binary Code and Pulse Position Modulation (PRBC-PPM) pulse train, in order to solve the problem of single channel source separation and parameters estimation of multi-component signal, an estimation method of carrier frequency and pseudo-random code based on Singular Value Ratio (SVR) spectrum and cycle accumulation is proposed. The generalized period can be estimated through SVR spectrum firstly, after that the interference of the noise can be reduced by cycle accumulating, Fast Fourier Transformation (FFT) is used to analyze the squared signal, and the exact value of carrier frequency and the pulse position can be obtain by measuring the sum value of the real part of the signal which removed carrier frequency. At last, the amplitude and the initial phase can be determined by calculating the inner product. The simulation results prove that the proposed method is effective in different SNRs.
- Signal processing /
- Multi-component signal /
- Pseudo-random code modulated pulse train signal /
- Parameters estimation /
- Source separation /
- Generalized period

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