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中文摘要：
该文为解决弱相关非高斯噪声环境下的伪码捕获问题,提出了一种基于局部最佳检测算法的伪码捕获方法,将伪码捕获等价为假设检验问题,将弱相关非高斯噪声建模为一阶滑动平均SαS噪声模型,利用局部最佳检测算法推导出弱相关非高斯噪声环境下的伪码捕获检测统计量,在此基础上对检测统计量进行了简化,给出了其实现结构,并与传统的伪码捕获方法进行了性能仿真对比,仿真结果表明该文所提出的捕获方法在弱相关非高斯噪声环境下检测性能有较大幅度的提高,且非高斯噪声脉冲特性越明显,所设计的检测器优势越明显。
英文摘要：
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） S α S 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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