利用擬合優(yōu)度檢驗(yàn)的NPLSC-DSSS信號(hào)偽碼盲估計(jì)

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	<meta name=; 李淼; 沈雷; 王海泉

doi:10.11999/JEIT160541

利用擬合優(yōu)度檢驗(yàn)的NPLSC-DSSS信號(hào)偽碼盲估計(jì)

doi: 10.11999/JEIT160541

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基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61571172)

計(jì)量
- 文章訪問(wèn)數(shù): 1285
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-05-06
- 修回日期: 2016-10-31
- 刊出日期: 2017-03-19

Blind Estimation of Pseudo-random Noise Codes in NPLSC-DSSS Signals Based on Goodness of Fit Test

Funds:

The National Natural Science Foundation of China (61571172)

摘要

摘要: 針對(duì)非周期短碼擴(kuò)頻長(zhǎng)碼加擾直擴(kuò)(NPLSC-DSSS)信號(hào)的偽碼估計(jì)問(wèn)題，該文首先給出了m序列三階相關(guān)函數(shù)(TCF)共同峰理論和NPLSC-DSSS信號(hào)TCF估計(jì)量的概率函數(shù)。其次，利用TCF峰的共軛系特性構(gòu)建了TCF峰值序列，提出了TCF共同峰檢測(cè)的二元假設(shè)模型和利用擬合優(yōu)度檢驗(yàn)的TCF共同峰精檢測(cè)算法。同時(shí)，為提高偽碼估計(jì)性能，該文利用正反向TCF三階相關(guān)峰性質(zhì)和共軛系TCF峰值點(diǎn)累加和遞增性質(zhì)排除大量偽峰。最后通過(guò)矩陣斜消法實(shí)現(xiàn)長(zhǎng)短偽碼的盲估計(jì)。仿真結(jié)果表明，該文方法在低信噪比條件下能夠有效估計(jì)NPLSC-DSSS信號(hào)的偽隨機(jī)碼。
- 擴(kuò)頻通信 /
- 長(zhǎng)短碼直擴(kuò)信號(hào) /
- 三階相關(guān)理論 /
- 擬合優(yōu)度檢驗(yàn) /
- 偽碼盲估計(jì)
Abstract: For blind estimation of Pseudo-random Noise (PN) codes in Non-Periodic Long and Short Codes Direct Sequence Spread Spectrum (NPLSC-DSSS) signals, the Triple Correlation Function (TCF) common peak theory of m-sequence and probability function of NPLSC-DSSS signals TCF estimate are given firstly. Then sequences of TCF peaks are built with their conjugate sets features, binary hypothesis test model and accurate detection algorithm of TCF common peaks using goodness of fit test are proposed. Meanwhile, many false peaks are eliminated to improve the estimation performance using the property of forward and backward TCF peaks and cumulative-sums increasing trend of TCF peaks in conjugate sets. Lastly, the primitive polynomials of long and short pseudo-random codes can be estimated with the matrixs oblique elementary method. Simulations show that the proposed method can effectively estimate the PN codes of NPLSC-DSSS signal at low Signal-to-Noise Ratio (SNR).

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