Pn code acquisition structure of DS/SS based on maximum-entropy PDF estimation

Ding Jie Xu; Guo Qing Zhao; Wei Wang

doi:10.3963/j.issn.1671-4431.2010.08.030

Pn code acquisition structure of DS/SS based on maximum-entropy PDF estimation

Ding Jie Xu^*
, Guo Qing Zhao
, Wei Wang

^*Corresponding author for this work

Harbin Engineering University

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

Abstract

In order to acquire the weak direct sequence spread spectrum (DS/SS) signal in the unknown non-Gaussian noise model for DS/SS system, a new pre-correlation one-dimensional amplitude detection technology based on integral maximum entropy probability density function (PDF) estimation and locally optimal detector (LOD) is proposed in this paper. The Monte Carlo simulation result shows that when the noise is non-Gaussian, the detection probability of LOD based on integral maximum entropy PDF estimation exceeds the common SS detector obviously, and the detection probability is improved by 2.0%~99.0% when signal-to-noise ratio (SNR) is-25~0 dB, and that the performance of common SS detector drops sharply so much as unusable with non-Gaussian noise is changed at all.

Original language	English
Pages (from-to)	121-124
Number of pages	4
Journal	Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology
Volume	32
Issue number	8
DOIs	https://doi.org/10.3963/j.issn.1671-4431.2010.08.030
State	Published - 30 Apr 2010
Externally published	Yes

Keywords

Direct sequence spread spectrum system (DS/SS)
Integral maximum entropy
Locally optimal detection (LOD)
Non-Gaussian noise
Probability density function (PDF)

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10.3963/j.issn.1671-4431.2010.08.030

Cite this

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title = "Pn code acquisition structure of DS/SS based on maximum-entropy PDF estimation",

abstract = "In order to acquire the weak direct sequence spread spectrum (DS/SS) signal in the unknown non-Gaussian noise model for DS/SS system, a new pre-correlation one-dimensional amplitude detection technology based on integral maximum entropy probability density function (PDF) estimation and locally optimal detector (LOD) is proposed in this paper. The Monte Carlo simulation result shows that when the noise is non-Gaussian, the detection probability of LOD based on integral maximum entropy PDF estimation exceeds the common SS detector obviously, and the detection probability is improved by 2.0\%\textasciitilde{}99.0\% when signal-to-noise ratio (SNR) is-25\textasciitilde{}0 dB, and that the performance of common SS detector drops sharply so much as unusable with non-Gaussian noise is changed at all.",

keywords = "Direct sequence spread spectrum system (DS/SS), Integral maximum entropy, Locally optimal detection (LOD), Non-Gaussian noise, Probability density function (PDF)",

author = "Xu, \{Ding Jie\} and Zhao, \{Guo Qing\} and Wei Wang",

year = "2010",

month = apr,

day = "30",

doi = "10.3963/j.issn.1671-4431.2010.08.030",

language = "英语",

volume = "32",

pages = "121--124",

journal = "Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology",

issn = "1671-4431",

publisher = "Wuhan University of Technology",

number = "8",

}

TY - JOUR

T1 - Pn code acquisition structure of DS/SS based on maximum-entropy PDF estimation

AU - Xu, Ding Jie

AU - Zhao, Guo Qing

AU - Wang, Wei

PY - 2010/4/30

Y1 - 2010/4/30

N2 - In order to acquire the weak direct sequence spread spectrum (DS/SS) signal in the unknown non-Gaussian noise model for DS/SS system, a new pre-correlation one-dimensional amplitude detection technology based on integral maximum entropy probability density function (PDF) estimation and locally optimal detector (LOD) is proposed in this paper. The Monte Carlo simulation result shows that when the noise is non-Gaussian, the detection probability of LOD based on integral maximum entropy PDF estimation exceeds the common SS detector obviously, and the detection probability is improved by 2.0%~99.0% when signal-to-noise ratio (SNR) is-25~0 dB, and that the performance of common SS detector drops sharply so much as unusable with non-Gaussian noise is changed at all.

AB - In order to acquire the weak direct sequence spread spectrum (DS/SS) signal in the unknown non-Gaussian noise model for DS/SS system, a new pre-correlation one-dimensional amplitude detection technology based on integral maximum entropy probability density function (PDF) estimation and locally optimal detector (LOD) is proposed in this paper. The Monte Carlo simulation result shows that when the noise is non-Gaussian, the detection probability of LOD based on integral maximum entropy PDF estimation exceeds the common SS detector obviously, and the detection probability is improved by 2.0%~99.0% when signal-to-noise ratio (SNR) is-25~0 dB, and that the performance of common SS detector drops sharply so much as unusable with non-Gaussian noise is changed at all.

KW - Direct sequence spread spectrum system (DS/SS)

KW - Integral maximum entropy

KW - Locally optimal detection (LOD)

KW - Non-Gaussian noise

KW - Probability density function (PDF)

UR - https://www.scopus.com/pages/publications/77953635081

U2 - 10.3963/j.issn.1671-4431.2010.08.030

DO - 10.3963/j.issn.1671-4431.2010.08.030

M3 - 文章

AN - SCOPUS:77953635081

SN - 1671-4431

VL - 32

SP - 121

EP - 124

JO - Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology

JF - Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology

IS - 8

ER -

Pn code acquisition structure of DS/SS based on maximum-entropy PDF estimation

Abstract

Keywords

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