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| PN Code Acquisition Based on the Locally Optimum Detector in Weakly Dependent Non-Gaussian Impulsive Channels |
| Shen Feng; Sun Feng |
| College of Automation, Harbin Engineering University, Harbin 150001, China |
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Abstract 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) SαS 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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Received: 07 April 2009
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Corresponding Authors:
Shen Feng
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2010, Vol. 32 
