In this paper pilot based channel estimation is being considered for broadband power line communication (BPLC) networks witch used orthogonal frequency division multiplexing (OFDM) in order to transmit high rate data....In this paper pilot based channel estimation is being considered for broadband power line communication (BPLC) networks witch used orthogonal frequency division multiplexing (OFDM) in order to transmit high rate data. To estimate channel in time or frequency some pilot must be used. Number of these pilots and deployment of them is very important for proper estimation in different channel with varying time and frequency. Carrier sense multiple access (CSMA) and hybrid multiple access protocol are taken into consideration in MAC sub-layer. Multilayered perceptions neural network with backpropagation (BP) learning channel estimator algorithm with different pilot deployment compare to classic algorithm in for channel estimating. Simulation results show the proposed neural network estimation decreases bit error rate and therefore network throughput increases.展开更多
Broadband power line communication (BPLC) gained a lot of interest because of low cost and high performance communication network in access area. In this paper physical (PHY) layer and medium access control (MAC) sub-...Broadband power line communication (BPLC) gained a lot of interest because of low cost and high performance communication network in access area. In this paper physical (PHY) layer and medium access control (MAC) sub-layer of BPLC are considered. Furthermore, effects of bit error rate (BER) are analyzed in MAC sub-layer. Powerful turbo convolutional code (TCC) and wideband orthogonal frequency division multiplexing (OFDM) are used in PHY layer. Carrier sense multiple access (CSMA) and virtual slot multiple access (VSMA) are taken into consideration in MAC sub-layer. Multilayered perceptrons neural network with backpropagation (BP) learning channel estimator algorithm compare to classic algorithm in for channel estimating. The simulation results show that the proposed neural network estimation decreases bit error rate then in MAC sub-layer throughput increases and access delay is decreased.展开更多
A rapid method of determination of BaP in various environmental samples,using synchronous fluorescence spectroscopy scanning in defined range of dual-wavelengths(SFDW)is described in this paper.
介绍现有宽带电力线通信(PLC)载波采集方案特点,特别针对基于lntellon6400和DS2芯片技术的宽带载波集抄系统进行了研究与分析。对现有采集系统所面临的问题进行研究,提出一种基于新型Home Plug Green PHY技术,具有低功耗、高带宽、自组...介绍现有宽带电力线通信(PLC)载波采集方案特点,特别针对基于lntellon6400和DS2芯片技术的宽带载波集抄系统进行了研究与分析。对现有采集系统所面临的问题进行研究,提出一种基于新型Home Plug Green PHY技术,具有低功耗、高带宽、自组网、自动中继、地址自动上报等特点的新型宽带PLC组网采集方案。重点讨论基于新型宽带PLC用电信息采集系统的组网架构与通信协议。通过模拟环境的实验室测试和实际3种电力环境下用电信息采集工程环境验证,文章设计的宽带PLC用电信息采集系统具有高带宽、高识别率、高稳定性的优点。展开更多
文摘In this paper pilot based channel estimation is being considered for broadband power line communication (BPLC) networks witch used orthogonal frequency division multiplexing (OFDM) in order to transmit high rate data. To estimate channel in time or frequency some pilot must be used. Number of these pilots and deployment of them is very important for proper estimation in different channel with varying time and frequency. Carrier sense multiple access (CSMA) and hybrid multiple access protocol are taken into consideration in MAC sub-layer. Multilayered perceptions neural network with backpropagation (BP) learning channel estimator algorithm with different pilot deployment compare to classic algorithm in for channel estimating. Simulation results show the proposed neural network estimation decreases bit error rate and therefore network throughput increases.
文摘Broadband power line communication (BPLC) gained a lot of interest because of low cost and high performance communication network in access area. In this paper physical (PHY) layer and medium access control (MAC) sub-layer of BPLC are considered. Furthermore, effects of bit error rate (BER) are analyzed in MAC sub-layer. Powerful turbo convolutional code (TCC) and wideband orthogonal frequency division multiplexing (OFDM) are used in PHY layer. Carrier sense multiple access (CSMA) and virtual slot multiple access (VSMA) are taken into consideration in MAC sub-layer. Multilayered perceptrons neural network with backpropagation (BP) learning channel estimator algorithm compare to classic algorithm in for channel estimating. The simulation results show that the proposed neural network estimation decreases bit error rate then in MAC sub-layer throughput increases and access delay is decreased.
文摘A rapid method of determination of BaP in various environmental samples,using synchronous fluorescence spectroscopy scanning in defined range of dual-wavelengths(SFDW)is described in this paper.
文摘介绍现有宽带电力线通信(PLC)载波采集方案特点,特别针对基于lntellon6400和DS2芯片技术的宽带载波集抄系统进行了研究与分析。对现有采集系统所面临的问题进行研究,提出一种基于新型Home Plug Green PHY技术,具有低功耗、高带宽、自组网、自动中继、地址自动上报等特点的新型宽带PLC组网采集方案。重点讨论基于新型宽带PLC用电信息采集系统的组网架构与通信协议。通过模拟环境的实验室测试和实际3种电力环境下用电信息采集工程环境验证,文章设计的宽带PLC用电信息采集系统具有高带宽、高识别率、高稳定性的优点。
