Context. Traditionally a large number of pilot carriers are utilized to acquire channel state information in OFDM based systems.<br />A larger number of pilot carriers gives better channel state estimation but leads to lower spectrum efficiency of the system.<br />Objective. Primary objective of this paper is to look at the practical aspects of the application of novel CS-based channel<br />estimation technique, that can achieve estimation quality on reduced training data, in context of real pilot aided OFDM systems.<br />Method. A novel technique CS enables representation of sparse signals using fewer samples as compared to its original size.<br />Exploiting the sparse nature of channel impulse response of multipath channels, we apply the CS technique for channel estimation in<br />pilot aided OFDM system based on ISDB-T standard.<br />Results. In this paper, we consider two the most popular CS-based recovery algorithms – OMP and CoSaMP. The MSE<br />performance metrics are given for both CS-based channel estimation algorithms. Simulations results demonstrate that CoSaMP<br />provides more stable results while requires more pilot carriers than OMP to achieve good estimation quality. Both algorithms require<br />a priori knowledge of channel sparsity level but CoSaMP is much more sensitive to a correctness of this information.<br />Conclusions. The compressed sampling approach shows the impressive capability of channel impulse response recovery from a<br />significantly smaller amount of pilot carriers than traditional linear methods require. However, the need of sparsity knowledge by the<br />most popular CS recovery methods seriously limits the applicability of these algorithms in real OFDM receivers. Nevertheless, CSbased<br />channel estimation is a promising technique which worth further investigation to overcome this limitation.
Науковий журнал «Радіоелектроніка, інформатика, управління»
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Kotlyarov, V. V.; National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv, Ukraine Shpylka, A. A.; National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv, Ukraine |
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Context. Traditionally a large number of pilot carriers are utilized to acquire channel state information in OFDM based systems.<br />A larger number of pilot carriers gives better channel state estimation but leads to lower spectrum efficiency of the system.<br />Objective. Primary objective of this paper is to look at the practical aspects of the application of novel CS-based channel<br />estimation technique, that can achieve estimation quality on reduced training data, in context of real pilot aided OFDM systems.<br />Method. A novel technique CS enables representation of sparse signals using fewer samples as compared to its original size.<br />Exploiting the sparse nature of channel impulse response of multipath channels, we apply the CS technique for channel estimation in<br />pilot aided OFDM system based on ISDB-T standard.<br />Results. In this paper, we consider two the most popular CS-based recovery algorithms – OMP and CoSaMP. The MSE<br />performance metrics are given for both CS-based channel estimation algorithms. Simulations results demonstrate that CoSaMP<br />provides more stable results while requires more pilot carriers than OMP to achieve good estimation quality. Both algorithms require<br />a priori knowledge of channel sparsity level but CoSaMP is much more sensitive to a correctness of this information.<br />Conclusions. The compressed sampling approach shows the impressive capability of channel impulse response recovery from a<br />significantly smaller amount of pilot carriers than traditional linear methods require. However, the need of sparsity knowledge by the<br />most popular CS recovery methods seriously limits the applicability of these algorithms in real OFDM receivers. Nevertheless, CSbased<br />channel estimation is a promising technique which worth further investigation to overcome this limitation. |
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Zaporizhzhya National Technical University 2019-01-18 11:02:38 |
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application/pdf http://ric.zntu.edu.ua/article/view/154598 |
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Radio Electronics, Computer Science, Control; No 4 (2018): Radio Electronics, Computer Science, Control |
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Copyright (c) 2019 V. V. Kotlyarov, A. A. Shpylka |
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