摘要
为抑制船舶信号的峰均比,使航行载波码地址得到有效区分,建立一种新型的船舶突发信号盲处理技术模型。通过信号分组码分类、Alamouti识别节点空时编码2个处理步骤,完成船舶突发信号的节点识别。在此基础上,按照稀疏信号盲性重建、处理节点信号跟踪、盲处理捕获参数计算的操作流程,实现新型技术模型的构建,完成船舶突发信号的盲处理技术研究。对比实验结果表明,与现有处理手段相比,应用新型盲处理技术模型后,船舶信号峰均比的最大值不超过50%,航行载波码地址明确区分量得到提升。
In order to suppress the peak-to-average ratio(PAPR) of ship signals and distinguish the carrier code addresses effectively, a new blind processing model of ship burst signals is proposed. The node recognition of ship burst signals is accomplished by two processing steps: signal block code classification and Alamouti recognition node space-time coding. On this basis, according to the operation flow of blind reconstruction of sparse signals, signal tracking of processing nodes and calculation of acquisition parameters of blind processing, a new technical model is constructed, and the blind processing technology of ship burst signals is completed. The experimental results show that, compared with the existing processing methods, the maximum peak-to-average ratio of ship signals does not exceed 50% after the application of the new blind processing technology model, and the navigation carrier code address distinction has been greatly improved.
引文
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