摘要
为了解决在低信噪比的情况下,直接序列扩频信号(DS-SS)的检测与参数估计问题,本文讨论了基于高阶统计理论的DS-SS的检测方法以及对DS-SS扩频码码型的估计。在仿真实验中,提出了一种将接收信号分段,利用数据累积窗技术来提高接收信号信噪比的方法。理论分析和计算机仿真结果表明本文的方法鲁棒性强,即使在信噪比很低的情况下,仍然能够检测出DS-SS,并能够对其参数进行准确有效地估计。
This paper elaborates the detection of direct sequence spread spectrum signal, proposes the different effective methods of the partial parameters estimation to direct sequence spread spectrum signal based on the higher order statistical theory. In the simulation experiment, it proposes one kind of method which partitioned the received signal using the data accumulation window technology, it will improve the received signal signal-to-noise ratio. Theoretical analysis and the computer simulation results indicate that the proposed methods can detect the direct sequence spread spectrum signal and estimate its parameter even though in the execrable situation where the ratio of signal to noise is low .
出处
《微计算机信息》
北大核心
2007年第18期118-119,101,共3页
Control & Automation
基金
安徽省自然科学基金(050420101)
关键词
DS-SS
高阶统计理论
参数估计
检测
DS-SS,higher order statistical theory, parameter estimation, detection
