A new method for frame synchronization in OFDMA mode of WMAN

Kotipalli, Pushpa; Kishore, C. Nanda; Yoganandam, Y.

doi:10.1109/tencon.2008.4766711

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…The conjugate symmetry property has been applied for timing synchronisation, that is, the real data are transmitted on subcarriers of the preamble symbol in [42]. Li [43] generated a conjugate symmetric sequence using a pilot symbol and two auxiliary data symbols and proposed a symbol timing algorithm based on the conjugate symmetry property.…”

Section: A Related Workmentioning

confidence: 99%

Frame Boundary Detection and Deep Learning-Based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

Kotipalli¹,

Mohanraju²,

Vardhanapu³

2022

IEEE Access

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Underwater acoustic (UWA) communication is the only option for underwater long-distance wireless communication. However, its data rate is very low, in tens of kbps, and the time-varying nature of the UWA channel exhibits a Doppler effect. The data rate can be increased using a multicarrier technique, such as Filter Bank Multicarrier (FBMC). The FBMC-OQAM system does not require a cyclic prefix (CP) to eliminate intersymbol interference (ISI). Therefore, compared to other multicarrier techniques, the FBMC-OQAM system achieves the maximum spectral efficiency. Despite the well-designed filter, synchronisation errors cause performance degradation in the FBMC-OQAM system. In this paper, we propose frame boundary and Doppler frequency estimation methods for the FBMC-OQAM system under UWA channels.In this study, we propose a preamble-based frame boundary. The conjugate symmetry property is used in the frame boundary estimation. The performance of the proposed technique was studied under different UWA channels with different Doppler scale. The proposed time synchronisation technique yielded multiple peaks under UWA channels. A method for identifying the peak that represents the frame boundary is proposed. We compared the performance of proposed timing metric with Schmidl & Cox timing metric and Reddy"s timing metric. The proposed timing metric exhibited superior performance over existing techniques. In addition, we propose a convolutional neural network (CNN)-based Doppler scale estimation method. The proposed technique was shown to estimate a wide range of Doppler scale factors. The performance of the proposed technique was studied by considering different UWA channels at different SNRs. The proposed CNN architecture is analysed by changing the CNN parameters. Stacked autoencoders were adopted for Doppler scale estimation and the performance of the proposed CNN-based Doppler scale estimation method was compared with the stacked autoencoders based Doppler scale estimation method. Simulation results show that the proposed CNN-based Doppler Scale estimator exhibits good performance in UWA channels at different SNRs and Doppler scale factors.

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Section: A Related Workmentioning

confidence: 99%

Frame Boundary Detection and Deep Learning-Based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

Kotipalli¹,

Mohanraju²,

Vardhanapu³

2022

IEEE Access

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“…An alternative scheme, which is specifically devised for the IEEE 802.16 standard, has recently been suggested in [23]. This method exploits the conjugate symmetry property of the training block which arises from the use of real-valued pilot symbols, and replaces the quantity P (d) in (12) by…”

Section: A Detection Of the Training Blockmentioning

confidence: 99%

AeroMACS evolution - analysis during landing, takeoff, and approach phases

Pulini

Plass

Taponecco

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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The Aeronautical Mobile Airport Communications System (AeroMACS) has been developed for future high-rate, secure, and safety enhancing airport communications in the C-band. Although initially designed for ground applications, the relatively large radio coverage area of AeroMACS suggests its potential extension to new operative scenarios wherein a data link is established between the control tower and the aircraft even when the latter is not in contact with the airport surface. An examination is needed for these new applications concerning channel properties, synchronization aspects, and general performance behaviors. In this paper, the possibility of using AeroMACS during the approach, landing, and takeoff phases of an aircraft flight is investigated. After deriving the channel parameters for the new application scenarios, the synchronization and channel estimation algorithms are presented and the overall error rate performance is assessed by means of computer simulations. Our results indicate that AeroMACS is able to cope with

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