The Improved Detection Algorithms of Parallel Combinatory Spread Spectrum Signal
The Improved Detection Algorithms of Parallel Combinatory Spread Spectrum Signal
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DOI：
10.1109/wicom.2008.376
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发表时间：
2008-11
期刊：
影响因子：
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通讯作者：
Qiu Xiaodong;Luo Qian;Zhao Di;Guo Lili
中科院分区：
文献类型：
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作者：
Qiu Xiaodong;Luo Qian;Zhao Di;Guo Lili
为了减小扩频序列与信道噪声之间不理想的相关特性对检测算法性能的影响，提出了两种用于并行组合扩频信号检测的改进算法。改进的基于循环相关的检测算法利用PCSS信号的循环相关特性来抑制信道中的内部干扰和噪声以及干扰。另一种是基于多用户检测(MUD)的方法，它利用PCSS信号的结构特性来提高检测性能。给出了改进的检测算法的数学模型，并对其性能进行了分析。理论分析和实验结果表明，基于循环相关的改进算法对信道中的噪声和干扰具有较好的抑制性能，而基于多用户检测的改进算法对由于扩频序列之间的相关特性不完善而产生的内部干扰具有较好的抑制性能。同时，除了突发性通信系统外，算法的复杂度也越来越高，限制了它们的应用范围。
To reduce the influence of imperfect correlation characteristic between the spread sequences and noise in the channel on the performance of detection algorithms, two improved algorithms used to detect parallel combinatory spread spectrum (PCSS) signal are proposed. The improved detection algorithms based on cyclic correlation apply the cyclic correlation characteristic of PCSS signals to suppress inner-interference and noise as well as jamming in the channel. And the other ones based on multi-user detection (MUD) use the configuration characteristic of PCSS signal to improve the performance of the detection. The mathematics models of improved detection algorithms are provided and the performances are analyzed. Theoretic analysis and experimental results indicate that the improved algorithms based on cyclic correlation have the better performance to suppress noise and jamming in the channel and the improved algorithms based on MUD have the better performance to suppress inner-interference as the result of imperfect correlation characteristic between the spread sequences. At the same time, the complexities of the algorithms are increased that limit their applied occasion except for abrupt communication systems.