單通道多分量偽碼調(diào)制脈沖串信號(hào)分離及參數(shù)提取

朱航; 張淑寧; 趙惠昌

doi:10.11999/JEIT141317

單通道多分量偽碼調(diào)制脈沖串信號(hào)分離及參數(shù)提取

doi: 10.11999/JEIT141317 cstr: 32379.14.JEIT141317

2.
(南京理工大學(xué)電子工程與光電技術(shù)學(xué)院南京 210094) ②(解放軍73015部隊(duì) 湖州 313000)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61301216)和省部級(jí)基金

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- 被引次數(shù): 0
出版歷程
- 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: 該文針對(duì)幾種偽隨機(jī)碼調(diào)制脈沖串信號(hào)，包括偽隨機(jī)二相編碼(PRBC)脈沖串信號(hào)、偽隨機(jī)脈位調(diào)制(PPM)脈沖串信號(hào)及偽隨機(jī)脈位調(diào)制與偽隨機(jī)二相編碼復(fù)合(PRBC-PPM)脈沖串信號(hào)，為解決單通道多分量情況下的信號(hào)分離和參數(shù)提取問題，提出基于奇異值比譜和周期積累的載頻及偽碼波形估計(jì)方法。通過構(gòu)建奇異值比譜估計(jì)廣義周期并完成周期積累，再取平方進(jìn)行FFT變換，并以去載頻處理后信號(hào)的實(shí)部累加和為衡量標(biāo)準(zhǔn)，精確估計(jì)出載頻并完成脈位波形估計(jì)。最后通過內(nèi)積計(jì)算估計(jì)出幅度和初始相位。仿真與分析說明該文方法在不同信噪比下的有效性。
- 信號(hào)處理 /
- 單通道多分量信號(hào) /
- 偽碼調(diào)制脈沖串信號(hào) /
- 參數(shù)提取 /
- 信號(hào)分離 /
- 廣義周期
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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