利用拟合优度检验的NPLSC-DSSS信号伪码盲估计

doi:10.11999/JEIT160541

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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-sum’s increasing trend of TCF peaks in conjugate sets. Lastly, the primitive polynomials of long and short pseudo-random codes can be estimated with the matrix’s 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).

Key words： Spread spectrum communication Long and Short Codes Direct Sequence Spread Spectrum (LSC- DSSS) Triple correlation theory Goodness of fit test Pseudo-random Noise (PN) codes blind estimation

Received: 06 May 2016 Published: 20 December 2016

PACS:

TN914.42

Fund:

The National Natural Science Foundation of China (61571172)

Corresponding Authors: QIANG Fangfang E-mail: qiangffmy@163.com

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	ZHAO Zhijin
	QIANG Fangfang
	LI Miao
	SHEN Lei
	WANG Haiquan

Cite this article:

ZHAO Zhijin,QIANG Fangfang,LI Miao等. Blind Estimation of Pseudo-random Noise Codes in NPLSC-DSSS Signals Based on Goodness of Fit Test[J]. JEIT, 2017, 39(3): 749-753.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160541 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I3/749

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