An improved double acquisition algorithm for DSSS system

Zhu Lin Xiong; Jian Ping An; Rong Hua Zhou; Fang Fang Fan

doi:10.15918/j.tbit1001-0645.2015.09.014

An improved double acquisition algorithm for DSSS system

Zhu Lin Xiong, Jian Ping An^*, Rong Hua Zhou, Fang Fang Fan

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

An improved double acquisition algorithm for DSSS system with large Doppler frequency shift and low SNR was proposed. Firstly, the parallel search algorithm was utilized with code phase based on FFT for pre-acquisition and compensation of frequency shift. Secondly, after achieving the synchronization of the PN code and carrier, decreasing and demodulating the received DSSS signal wound be executed with the local synchronized code and carrier. Finally, accurate frequency estimation was achieved using FFT with assistant module. Simulation results show that the improved algorithm can reduce resource consumption by 24% and shorten acquisition time by 84%. With a relevant parameter selection method, the algorithm achieves better performance with various SNRs and spreading rates.

Original language	English
Pages (from-to)	951-955
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	35
Issue number	9
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2015.09.014
Publication status	Published - 1 Sept 2015

Keywords

DSSS system
Double acquisition
FFT
Large Doppler frequency shift
Low complexity

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10.15918/j.tbit1001-0645.2015.09.014

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title = "An improved double acquisition algorithm for DSSS system",

abstract = "An improved double acquisition algorithm for DSSS system with large Doppler frequency shift and low SNR was proposed. Firstly, the parallel search algorithm was utilized with code phase based on FFT for pre-acquisition and compensation of frequency shift. Secondly, after achieving the synchronization of the PN code and carrier, decreasing and demodulating the received DSSS signal wound be executed with the local synchronized code and carrier. Finally, accurate frequency estimation was achieved using FFT with assistant module. Simulation results show that the improved algorithm can reduce resource consumption by 24% and shorten acquisition time by 84%. With a relevant parameter selection method, the algorithm achieves better performance with various SNRs and spreading rates.",

keywords = "DSSS system, Double acquisition, FFT, Large Doppler frequency shift, Low complexity",

author = "Xiong, {Zhu Lin} and An, {Jian Ping} and Zhou, {Rong Hua} and Fan, {Fang Fang}",

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T1 - An improved double acquisition algorithm for DSSS system

AU - Xiong, Zhu Lin

AU - An, Jian Ping

AU - Zhou, Rong Hua

AU - Fan, Fang Fang

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Y1 - 2015/9/1

N2 - An improved double acquisition algorithm for DSSS system with large Doppler frequency shift and low SNR was proposed. Firstly, the parallel search algorithm was utilized with code phase based on FFT for pre-acquisition and compensation of frequency shift. Secondly, after achieving the synchronization of the PN code and carrier, decreasing and demodulating the received DSSS signal wound be executed with the local synchronized code and carrier. Finally, accurate frequency estimation was achieved using FFT with assistant module. Simulation results show that the improved algorithm can reduce resource consumption by 24% and shorten acquisition time by 84%. With a relevant parameter selection method, the algorithm achieves better performance with various SNRs and spreading rates.

AB - An improved double acquisition algorithm for DSSS system with large Doppler frequency shift and low SNR was proposed. Firstly, the parallel search algorithm was utilized with code phase based on FFT for pre-acquisition and compensation of frequency shift. Secondly, after achieving the synchronization of the PN code and carrier, decreasing and demodulating the received DSSS signal wound be executed with the local synchronized code and carrier. Finally, accurate frequency estimation was achieved using FFT with assistant module. Simulation results show that the improved algorithm can reduce resource consumption by 24% and shorten acquisition time by 84%. With a relevant parameter selection method, the algorithm achieves better performance with various SNRs and spreading rates.

KW - DSSS system

KW - Double acquisition

KW - FFT

KW - Large Doppler frequency shift

KW - Low complexity

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An improved double acquisition algorithm for DSSS system

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