Estimation of signal to noise ratio value based on Autoregressive Integrated Moving Average model in Intelligent Satellite System

机译：基于智能卫星系统自回归综合移动平均模型的信噪比值估计

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For intelligent satellite system (ISS) to accomplish its missions, it has to adjust dynamically its operation according to future signal to noise ratio (SNR) value which can be estimated by using autoregressive integrated moving average (ARIMA) models. Th

机译：为了使智能卫星系统（ISS）能够完成其任务，它必须根据未来的信噪比（SNR）值动态调整其操作，而信噪比（SNR）值可以使用自回归综合移动平均值（ARIMA）模型进行估算。钍

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《Pulp and Paper Industry Technical Conference, Conference Record of 2006 Annual》|2008年|P.000937-000940|共4页
会议地点 Niagara Falls,ON,Canada
作者
Almuhtadi; W.; Cheng; B.; Aristama; A.; Olafimihan; O.;
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autoregressive moving average processes; satellite communication; signal processing; autoregressive integrated moving average model; intelligent satellite system; real-time SNR value; signal attenuation; signal-to-noise ratio estimation; ARIMA; ISS; SNR; attenuatio;

机译：自回归移动平均过程；卫星通信；信号处理;自回归综合移动平均模型；智能卫星系统；实时SNR值；信号衰减信噪比估计； ARIMA; ISS;信噪比衰减;

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4. Estimation of Signal to Noise Ratio Value Based on Autoregressive Integrated Moving Average Model in Intelligent Satellite System [C] . Wahab Almuhtadi, Brian Cheng, Aswin Aristama, Canadian Conference on Electrical and Computer Engineering . 2008

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Estimation of signal to noise ratio value based on Autoregressive Integrated Moving Average model in Intelligent Satellite System

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