基于矩陣填充和三階相關(guān)的長(zhǎng)短碼DS-CDMA信號(hào)多偽碼盲估計(jì)

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doi:10.11999/JEIT151087

基于矩陣填充和三階相關(guān)的長(zhǎng)短碼DS-CDMA信號(hào)多偽碼盲估計(jì)

doi: 10.11999/JEIT151087

趙知?jiǎng)?/a>¹,

李淼²,
尚俊娜²

2.
(杭州電子科技大學(xué)通信工程學(xué)院杭州 310018) ②(中國(guó)電子科技集團(tuán)第三十六研究所嘉興 314033)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61571172)

計(jì)量
- 文章訪問數(shù): 1415
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- PDF下載量: 340
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-09-23
- 修回日期: 2016-02-26
- 刊出日期: 2016-07-19

Blind Estimation of LSC-DS-CDMA Signal Based on Matrix Completion and Triple Correlation

2.
(School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Funds:

The National Natural Science Foundation of China (61571172)

摘要

摘要: 由于長(zhǎng)短碼直擴(kuò)碼分多址(LSC-DS-CDMA)信號(hào)包含了多個(gè)用戶的長(zhǎng)碼和短碼，已有的直擴(kuò)碼分多址信號(hào)的盲偽碼估計(jì)方法不再適用。為此該文提出一種基于矩陣填充和三階相關(guān)的偽碼估計(jì)方法。首先從理論上將結(jié)構(gòu)復(fù)雜的LSC-DS-CDMA信號(hào)構(gòu)建為多用戶短碼擴(kuò)頻的缺失矩陣模型，將復(fù)合碼矩陣估計(jì)建模為盲源信號(hào)分離問題；然后將矩陣填充理論應(yīng)用于復(fù)合碼矩陣估計(jì)，提出基于奇異值閾值算法和快速獨(dú)立成分分析算法的各用戶復(fù)合碼序列估計(jì)方法；最后利用m序列的移位相加性特性，提出延遲三階相關(guān)算法，從各用戶復(fù)合碼序列中估計(jì)其包含的長(zhǎng)短偽碼序列。仿真表明，當(dāng)信噪比高于-2 dB時(shí)，該文算法的長(zhǎng)短偽碼估計(jì)平均誤碼率低于0.1%。
- 偽碼 /
- 長(zhǎng)短碼直擴(kuò)碼分多址 /
- 矩陣填充 /
- 盲源分離 /
- 延遲三階相關(guān)函數(shù)
Abstract: As the Long and Short Codes Direct Sequence Code Division Multiple Access (LSC-DS-CDMA) signal contains long and short PN codes of multi-user, the existing methods of PN codes blind estimation for the Direct Sequence Code Division Multiple Access (DS-CDMA) signal are no longer applicable. Then a pseudo random (PN) codes estimation method based on matrix completion and triple correlation is proposed. Firstly, LSC-DS-CDMA signal is represented as a matrix model with missing data for multi-user short code and the composite code matrix estimation is modeled as a blind source separation problem in the theory. Secondly, matrix completion theory is used to estimate the composite code subspace. A method of the composite code sequences estimation is proposed based on the singular value thresholding algorithm and Fast-ICA algorithm. Finally, the delayed triple correlation algorithm is presented to estimate the long and short PN codes from the composite code sequences based on the shift-and-add property of m sequence. Simulations show that the bit error rate of long and short codes sequences can be reduced to 0.1% when the SNR is above -2 dB.

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