Estimation of signal correlation at spaced antennas for multi-moded ionospherically reflected signals and its effect on the capacity of SIMO and MIMO HF links

Estimation of signal correlation at spaced antennas for multi-moded ionospherically reflected signals and its effect on the capacity of SIMO and MIMO HF links
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多模电离层反射信号的间隔天线信号相关性估计及其对 SIMO 和 MIMO HF 链路容量的影响

DOI:
10.1049/cp:20060291
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发表时间:
2006
影响因子:
5.1
通讯作者:
H. Strangeways
H. Strangeways
中科院分区:
生物学2区
文献类型:
--
作者:
H. Strangeways

文献摘要

被引文献

相似文献

MIMO(多输出多输入)系统已被证明能够在多路径环境中为超高频通信提供显着的容量改进。MIMO在发射和接收位置都使用天线阵列,并且依赖于任何一个发射天线和任何一个接收天线的不同传播路径之间存在有限的相关性,这种情况可能出现在多路径传播环境中。如果这种容量增加能够在高频频段实施,从而允许更高的数据速率,那将是非常可取的。为了实现这一点,重要的是接收(或发射)天线之间的距离要足够远,以便每个发送(或接收)路径的衰落相对独立,否则就得不到什么好处。因此,本文研究了多径高频链路中接收间隔天线之间的相关性。要做到这一点,重要的是要包括电离层中随时间变化的小尺度结构的影响,它将引起这种降低的相关性。这是通过基于物理的高频信道模型来实现的,该模型结合了现实背景电离层模型(IRI)和嵌入时变不规则性的随机模型,并基于复相位法确定传播。
MIMO (Multiple Output Multiple Input) systems have been shown to be capable of providing significant capacity improvement for UHF communications in a multipath environment. MIMO utilizes antenna arrays at both transmitting and receiving locations and relies on there being limited correlation between the different propagation paths from any one transmit antenna and any one receiving antenna, a condition which can arise in a multipath propagation environment. It would be very desirable if such capacity increase could be implemented at HF, permitting much higher data rates. To achieve this, it is important that the receiving (or transmitting) antennas are sufficiently far apart that the fading is relatively independent for each transmitter receiver path as otherwise little advantage is gained. Thus in this paper the correlation between receiving spaced antennas for a multipath HF link is investigated. In accomplishing this it is important to include the effect of the time-varying small scale structure in the ionosphere which will gives rises to such reduced correlation. This is achieved using a physically based model of the HF channel incorporating a realistic background ionosphere model (IRI) together with a stochastic model for the embedded time-varying irregularities and determining the propagation on the basis of the complex phase method.