同/異步短碼DS-CDMA信號偽碼序列及信息序列盲估計
doi: 10.11999/JEIT180812
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重慶郵電大學信號與信息處理重慶市重點實驗室? ?重慶? ?400065
基金項目: 國家自然科學基金(61671095, 61371164),信號與信息處理重慶市市級重點實驗室建設項目(CSTC2009CA2003),重慶市杰出青年基金(CSTC2011jjjq40002)
Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal
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Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Funds: The National Natural Science Foundation of China (61671095, 61371164), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Distinguished Youth Foundation (CSTC2011jjjq40002)
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摘要: 針對傳統(tǒng)單通道異步直接序列碼分多址(DS-CDMA)信號信息序列及偽碼序列(PN)難以估計的問題,該文提出一種基于平行因子(PARAFAC)的多通道盲估計方法。該方法首先將信號建模為多通道接收模型,然后將觀測數(shù)據(jù)矩陣等效為平行因子模型,最后使用迭代最小二乘算法對平行因子進行低秩分解,進一步完成對DS-CDMA信號各用戶的信息序列及偽碼序列進行估計。仿真實驗表明,該方法不僅能有效地對同步、異步短碼DS-CDMA信號的偽碼序列及信息序列進行估計,而且能在通道數(shù)為6、信噪比(SNR)為–10 dB的條件下,實現(xiàn)10個用戶偽碼序列的有效估計。
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關鍵詞:
- 直接序列碼分多址信號 /
- 平行因子 /
- 信息序列 /
- 偽碼序列
Abstract: For the problem of Direct Sequence-Code Division Multiple Access (DS-CDMA) signal in traditional asynchronous single-channel, including blind estimation of the Pseudo-Noise (PN) sequence and information sequence, a method using multi-channel synchronous and asynchronous based on PARAllel FACtor (PARAFAC) is proposed. Firstly, the signal is modeled as a multi-channel receiving model, then the observed data matrix is equivalent to a factor model. Finally, the iterative least squares algorithm is applied to decomposing the parallel factor, and the information sequence and PN sequences of DS-CDMA signals are further estimated. The simulation results show that the proposed method can effectively estimate the PN sequence and information sequence of the short code DS-CDMA signal, and the estimation of 6 user PN sequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio (SNR) is –10 dB. -
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