高斯信源下多中继网络的分布式压缩转发系统与优化设计

发布时间：2018-01-07 04:06

本文关键词：高斯信源下多中继网络的分布式压缩转发系统与优化设计　出处：《数据采集与处理》2017年01期 　论文类型：期刊论文

【摘要】：提出了一种模拟高斯信源通过多中继网络进行压缩转发的系统模型,该系统模型可以描述实际中传感器受限于环境或成本,只能进行简单的模拟信号发送,而中继器能够进行复杂的分布式信源编码和信道编码的传感中继网络。本文提出了该系统的理论分析框架,对传感器网络的分布式信源编码问题,采用CEO理论建立多中继网络的率失真函数,结合Shannon信道容量理论,将传感器网络与数字通信网络建立联系。本文提出了系统的优化设计理论方法,在总功率受限条件下,在传感器网络和通信网络之间进行功率分配,使信噪比性能达到最大。理论分析和仿真结果表明,本文提出的方法比模拟中继转发系统在低信噪比区域抗干扰性能更好。在高信噪比区域,随着总信噪比约束的增大,可提高至10dB以上。
[Abstract]:This paper presents a system model of simulating Gao Si source compression and forwarding through multi-relay network. The system model can describe the sensor is limited by environment or cost in practice, and can only send a simple analog signal. The repeater can carry out complex distributed source coding and channel coding sensor relay network. In this paper, a theoretical analysis framework of the system is proposed to address the problem of distributed source coding in sensor networks. The rate-distortion function of multi-relay network is established by using CEO theory, and the Shannon channel capacity theory is combined. In this paper, the optimal design method of the system is proposed, which can distribute the power between the sensor network and the communication network under the condition of limited total power. The theoretical analysis and simulation results show that the proposed method has better anti-jamming performance in low signal-to-noise ratio region than analog relay forwarding system, and in high signal-to-noise ratio region. With the increase of total signal-to-noise ratio (SNR) constraint, it can be increased to more than 10 dB.
【作者单位】：南京航空航天大学电子信息工程学院;
【基金】：国家自然科学基金(61471192,61371169)资助项目江苏省高等学校优势学科建设工程资助项目
【分类号】：TN92
【正文快照】： 引言无线中继技术能够有效地对抗信道衰落、扩大无线网络覆盖范围、提氋系统容量、增加分集增益、提高信息的可靠性以及改善通信质量,且能广泛应用于各类无线通信系统。如卫星通信和微波中继通信系统就是经典的无线中继通信系统。移动通信中采用中继站扩大信号覆盖范围,提高

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