1,753 research outputs found

    Optical Arbitrary Waveform Measurement (OAWM) on the Silicon Photonic Platform

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    We demonstrate optical arbitrary waveform measurement (OAWM) using a silicon pho-tonic spectral slicer. Exploiting maximal-ratio combining (MRC), we demonstrate the viability of the scheme by reconstructing 100-GBd 64QAM signals with high quality

    BER Improvement in Rayleigh Fading SIMO Channel Using Hybrid Diversity Combining Technique

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    In this paper, Hybrid Diversity Combining Technique for a wireless system using Binary Phase Shift Keying (BPSK) in a Rayleigh Fading Single-Input-Multiple-Output (SIMO) channel is proposed. In Hybrid technique, the hybridization of Selection Combining (SC) and Maximal Ratio Combining (MRC) is done. An algorithm is developed for implementation on wireless system. All the three basic standalone combining techniques Selection Combining (SC), Equal Gain Combining (EGC) and Maximal Ratio Combining (MRC) are also considered and Bit Error Rate (BER) for Hybrid Diversity Combining technique and basic standalone combining techniques are computed and simulated. Antenna diversity (Receive diversity) is used by using multiple antennas at the receiver side and single antenna at transmitter side. The BER performance of Single-Input-Multiple-Output (SIMO) channel using a Hybrid Diversity Technique to that of the standalone combining techniques is minimized

    A RAKE Receiver Employing Maximal Ratio Combining (MRC) Without Channel Estimation for UWB Communications

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    An alternative method to channel estimation is presented as a means of supplying a RAKE receiver with the coefficients for Maximal Ratio Combining (MRC). The proposed RAKE receiver utilizes Time-Hopping Pulse Position Modulation (TH-PPM), and is specifically designed to be used in Ultra Wideband (UWB) communication systems in which channel estimation becomes problematic because of the high sampling rate required. The MRC coefficients are determined by a simple process of averaging the received energy for a given correlator finger over the course of a pilot sequence of P pulses. Performance of the proposed RAKE receiver is investigated through simulation using a discrete-time implementation of the multi-path channel model published by the IEEE 802.15.3 task group. The proposed RAKE receiver’s Bit-Error-Rate (BER) performance is compared against other RAKE receivers relying on channel estimation

    On the Computation of the Higher Order Statistics of the Channel Capacity over Generalized Fading Channels

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    The higher-order statistics (HOS) of the channel capacity μn=E[logn(1+γend)]\mu_n=\mathbb{E}[\log^n(1+\gamma_{end})], where nNn\in\mathbb{N} denotes the order of the statistics, has received relatively little attention in the literature, due in part to the intractability of its analysis. In this letter, we propose a novel and unified analysis, which is based on the moment generating function (MGF) technique, to exactly compute the HOS of the channel capacity. More precisely, our mathematical formalism can be readily applied to maximal-ratio-combining (MRC) receivers operating in generalized fading environments (i.e., the sum of the correlated noncentral chi-squared distributions / the correlated generalized Rician distributions). The mathematical formalism is illustrated by some numerical examples focussing on the correlated generalized fading environments.Comment: Submitted to IEEE Wireless Communications Letter, February 18, 201

    Diversity Combining for RF Energy Harvesting

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    RF energy harvesting (RFEH) is a promising technology for energy requirements of wireless communication nodes. However, providing sufficient amount of energy to ensure self-sufficient devices based on RFEH may be challenging. In this paper, the use of diversity combining in RFEH systems is proposed to increase the amount of harvested energy. The power consumption of diversity combining process is also taken into account to analyze the net benefit of diversity combining. Performances of RFEH systems are investigated for selection combining (SC), equal gain combining (EGC), and maximal ratio combining (MRC) techniques. Simulations are conducted to compare the numerical results of SC, EGC, and MRC, and the results show that although the diversity combining techniques can improve the energy harvesting performance, the power consumption parameters have a critical importance while determining the suitable technique
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