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Relevant bibliographies by topics / Detection for 2D ISI Channel

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Academic literature on the topic 'Detection for 2D ISI Channel'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Detection for 2D ISI Channel"

1

Song, Lijun, Xia Lei, Maozhu Jin, and Zhihan Lv. "Joint Channel Estimation and Signal Detection for the OFDM System Without Cyclic Prefix Over Doubly-Selective Channels." International Journal of Bifurcation and Chaos 25, no. 14 (2015): 1540028. http://dx.doi.org/10.1142/s0218127415400283.

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In the high-speed railway wireless communication, a joint channel estimation and signal detection algorithm is proposed for the orthogonal frequency division multiplexing (OFDM) system without cyclic prefix in the doubly-selective fading channels. Our proposed method first combines the basis expansion model (BEM) and the inter symbol interference (ISI) cancellation to overcome the situation that exists with the fast time-varying channel and the normalized maximum multipath channel exceeding the length of the cyclic prefix (CP). At first, the channel estimation and signal detection can be approximated without considering the ISI. Then, the channel parameters and signal detection are updated through ISI cancellation and circular convolution reconstruction from the frequency domain. The simulations show the algorithm can improve the performance of channel estimation and signal detection.

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2

Sripimanwat, K., H. Weinrichter, R. M. A. P. Rajatheva, and K. Ahmed. "Soft-detection phase precoding with MPSK-TCM for ISI channel." IEEE Communications Letters 5, no. 4 (2001): 163–65. http://dx.doi.org/10.1109/4234.917101.

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3

Modenini, Andrea, Fredrik Rusek, and Giulio Colavolpe. "Optimal Transmit Filters for ISI Channels under Channel Shortening Detection." IEEE Transactions on Communications 61, no. 12 (2013): 4997–5005. http://dx.doi.org/10.1109/tcomm.2013.110813.130385.

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4

Wo, Tianbin, and Peter Adam Hoeher. "Low-Complexity Gaussian Detection for MIMO Systems." Journal of Electrical and Computer Engineering 2010 (2010): 1–12. http://dx.doi.org/10.1155/2010/609509.

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For single-carrier transmission over delay-spread multi-input multi-output (MIMO) channels, the computational complexity of the receiver is often considered as a bottleneck with respect to (w.r.t.) practical implementations. Multi-antenna interference (MAI) together with intersymbol interference (ISI) provides fundamental challenges for efficient and reliable data detection. In this paper, we carry out a systematic study on the interference structure of MIMO-ISI channels, and sequentially deduce three different Gaussian approximations to simplify the calculation of the global likelihood function. Using factor graphs as a general framework and applying the Gaussian approximation, three low-complexity iterative detection algorithms are derived, and their performances are compared by means of Monte Carlo simulations. After a careful inspection of their merits and demerits, we propose a graph-based iterative Gaussian detector (GIGD) for severely delay-spread MIMO channels. The GIGD is characterized by a strictly linear computational complexity w.r.t. the effective channel memory length, the number of transmit antennas, and the number of receive antennas. When the channel has a sparse ISI structure, the complexity of the GIGD is strictly proportional to the number of nonzero channel taps. Finally, the GIGD provides a near-optimum performance in terms of the bit error rate (BER) for repetition encoded MIMO systems.

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5

A. Alhaidari, Fahd, Saleh A. Al-Dossary, Ilyas A. Salih, et al. "Automatic Channel Detection Using DNN on 2D Seismic Data." Computer Systems Science and Engineering 36, no. 1 (2021): 57–67. http://dx.doi.org/10.32604/csse.2021.013843.

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6

Hu, Sha, Xiang Gao, and Fredrik Rusek. "Linear Precoder Design for MIMO-ISI Broadcasting Channels Under Channel Shortening Detection." IEEE Signal Processing Letters 23, no. 9 (2016): 1207–11. http://dx.doi.org/10.1109/lsp.2016.2592968.

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7

Wang, Xinlei, Zhenqiang Wu, and Zhen Jia. "Improving Reliability Performance of Molecular Communication Based on Drift Diffusion with Ratio Detection Algorithm." International Journal of Nanoscience 20, no. 03 (2021): 2150026. http://dx.doi.org/10.1142/s0219581x21500265.

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Reliability is a vital issue in the area of communication. In this paper, we particularly investigate the reliability issue for molecular communication based on drift diffusion (MCD2). Since molecules easily accumulate in the channel to produce strong internal symbol interference (ISI), the receiver nanomachine will generate high bit error rate (BER) for the process of decode information. Based on this problem, on the premise of considering channel diffusion noise and ISI noise, the expression of channel BER is deduced to analyze reliability. Then a ratio detection algorithm (RDA) is proposed to reduce BER to improve the reliability performance that enables the receiver nanomachine to adapt the channel condition. Furthermore, an expression of signal to interference plus noise ratio is defined in numerical simulation to verify our goal with different parameters, as well as with the adoption of RDA. The results indicate that the performance of RDA in reducing BER works well in general case in improving reliability performance for MCD2.

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8

Li, Zhi Yong, Xiang Lu Meng, Kai Dong, Shuai Yan, and De Qiang Wang. "Layered Channel Estimation for High Data Rate DS-UWB." Advanced Materials Research 926-930 (May 2014): 1966–69. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1966.

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In this paper, a layered channel estimation method is proposed for DS-UWB systems, where both ISI and IPI are taken into consideration. The multipath components are classified into layers with respect to their time delays and estimated layer-by-layer iteratively. In each layer, the ISI and IPI are mitigated by using the inherent characteristics of bipolar symbols and prior knowledge of the spreading code sequence and pilot symbols. A detection-directed refinement procedure is used to improve the estimation accuracy further. Simulation results show that the proposed scheme can be used to gain precise channel state information.

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9

Sun, Wei, and Hongbin Li. "Blind channel estimation and detection for space–time coded CDMA in ISI channels." Digital Signal Processing 17, no. 1 (2007): 280–96. http://dx.doi.org/10.1016/j.dsp.2004.04.004.

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10

Schober, R., and L. Lampe. "Sequence Detection and Adaptive Channel Estimation for ISI Channels Under Class-A Impulsive Noise." IEEE Transactions on Communications 52, no. 9 (2004): 1523–31. http://dx.doi.org/10.1109/tcomm.2004.833197.

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