PN Code Acquisition in Multiplicative and Weakly Dependent Non-Gaussian Noises based on Locally Optimum Detection Statistic

In most previously reported studies on pseudonoise (PN) code acquisition, independent additive noises have been assumed in various noise environments. The use of an independent observation model may cause considerable performance degradation in modern high datarate communication systems. In these studies, only additive noise model is considered. In this paper, a new detector for PN code acquisition in multiplicative and weakly dependent nonGaussian noises is proposed. Modeling the acquisition problem as a hypothesis testing problem, the test statistical is derived for multiplicative and weakly dependent non-Gaussian noises, based on the locally optimum detection technique. Numerical results show that the proposed detector can offer substantial performance improvement over the conventional schemes in multiplicative and weakly dependent non-Gaussian noises.