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.
2010, Vol. 32 
