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Volume 32 Issue 4
Dec.  2010
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Shen Feng, Sun Feng. PN Code Acquisition Based on the Locally Optimum Detector in Weakly Dependent Non-Gaussian Impulsive Channels[J]. Journal of Electronics & Information Technology, 2010, 32(4): 811-815. doi: 10.3724/SP.J.1146.2009.00475
Citation: Shen Feng, Sun Feng. PN Code Acquisition Based on the Locally Optimum Detector in Weakly Dependent Non-Gaussian Impulsive Channels[J]. Journal of Electronics & Information Technology, 2010, 32(4): 811-815. doi: 10.3724/SP.J.1146.2009.00475

PN Code Acquisition Based on the Locally Optimum Detector in Weakly Dependent Non-Gaussian Impulsive Channels

doi: 10.3724/SP.J.1146.2009.00475
  • Received Date: 2009-04-07
  • Rev Recd Date: 2009-09-17
  • Publish Date: 2010-04-19
  • A new method of pseudonoise (PN) code acquisition is proposed in this paper to realize the code acquisition in weakly dependent non-Gaussian impulsive channels. Modeling the acquisition issue as a hypothesis testing issue, a detector is derived for dependent non-Gaussian impulsive noise, which is modeled as First Order Moving Average (FOMA) SS noise model, based on the locally optimum detection technique. On the base of the proposed detector, a simpler-structure is also derived. Numerical results show that the proposed detector can offer substantial performance improvement over the conventional schemes in weakly dependent non-Gaussian impulsive noise channels, and the proposed detector performs better as the impulsiveness becomes higher.
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  • Oh Hae-Sock and Han Dong-Seog. An adaptive double-dwellPN code acquisition system in DS-CDMA communications[J].Signal Processing.2005, 85(12):2327-2337[2]Choi K, Cheun K, and Jung T. Adaptive PN code acquisitionusing instantaneous power-scaled detection threshold underRayleigh fading and pulsed Gaussian noise jamming[J].IEEETransactions on Communication.2002, 50(8):1232-1235[3]Wang You guo and Wu Le nan. Nonlinear signal detectionfrom an array of threshold devices for non-Gaussian noise[J].Digital Signal Processing.2007, 17(26):76-89[4]Moustakides G V and Thomas J B. Min-max detection ofweak signals in -mixing noise[J].IEEE Transactions onInformation Theory.1984, 30(3):529-537[5]Hao Chen, Varshney P K, and Kay S M. Theory of thestochastic resonance effect in signal detection: Part IFixeddetectors. Signal Processing, 2007, 55(7): 3172-3184.[6]Kokkinos E and Maras A M. Locally optimum Bayesdetection in nonadditive first-order Markov noise[J].IEEETransactions on Communication.1999, 47(3):387-396[7]Song I, Bae J, and Kim S Y. Advanced Theory of SignalDetection. New York: Springer-Verlag, 2002: 56-59.[8]Yang X, Poor H V, and Petropulu A P. Memorylessdiscrete-time signal detection in long-range dependent noise[J].IEEE Transactions on Signal Process.2004, 52(6):1607-1619[9]Kim Kwanf Soon, Kim Sun Yong, Song Iickho, and Park SoRyoung. Locally optimum detector for correlated randomsignals in a weakly dependent noise model[J].Signal Processing.1999, 74(3):317-322[10]Kim In Jong, Park So Ryoung, and Song Iickho. Detectionschemes for weak signals in first-order moving average ofimpulsive noise. IEEE Transactions on VechicularTechnology, 2007, 56(1): 126-133.[11]Lee Jumi, Song Iickho, Kwon Hyoungmoon, and Kim HongJik. Locally optimum detection of signal in multiplicative andfirst-order markov additive noises[J].IEEE Transactions onInformation Theory.2008, 54(1):219-234[12]Yoon S, Song I, and Kim S Y. Code acquisition for DS/SScommunications in non-gaussian impulsive channels[J].IEEETransactions on Communication.2004, 52(2):187-190[13]Wang Jin wei, Liu Guang jie, and Dai Yue wei. Locallyoptimum detection for Barni's multiplicative watermarkingin DWT domain[J].Signal Processing.2008, 88(1):117-130[14]Maras A M. Non-parametric adaptive locally asymptoticallyoptimum detection in additive noise. Journal of the FranklinInstitute, 2005, 342(5): 565-581.[15]Roy A and Doherty J F. Signal detection in an impulsivenoise environment using locally optimum detection.Vehicular Technology Conference, Dublin, 2007: 1022-1026.[16]Xin Jing min, Zheng Nan ning, and Sano A. Simple andefficient nonparametric method for estimating the number ofsignals without eigendecomposition. Signal Processing, 2007,55(4): 1405-1420.
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