Symbol by symbol Doppler rate estimation for highly mobile underwater OFDM

Parrish, Nathan; Roy, Sumit; Arabshahi, P.

doi:10.1145/1654130.1654131

Cited by 21 publications

(17 citation statements)

References 13 publications

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“…Previously, the term a 2 (1 − µ 2 )t 2 has been ignored for t ∈ [−Θ/2, Θ/2] in (32) and (38); we now justify this step in our derivation. In many applications, it can be assumed that a < 1 m/s 2 [22], [29], [35]. Assuming also that ∆ is the time-correlation interval of the signal s 0 (t), which is given by ∆ ≈ 1/F , the term a 2 t 2 (1 − µ 2 ) can be ignored if…”

Section: Appendix a Derivation Of Mba Methodsmentioning

confidence: 99%

“…For specific underwater tasks, such as underwater imaging, environment monitoring, and sea bottom searching, fast-moving platforms such as autonomous underwater vehicles (AUVs) can use complicated trajectories [16]- [21], where the constant-speed assumption is not valid. Such movements require frequent re-estimation of the Doppler effect to support a high detection performance of UWA communications [22]. The Doppler estimation then becomes a complicated task dominating the complexity of the receiver [23].…”

Section: Introductionmentioning

confidence: 99%

“…This method however assumes that the time compression (the transmitter/receiver velocity) is constant over the data package, which is often not the case with a fast-moving and manoeuvring transmitter/receiver. With fast-varying movements, the Doppler estimation should also be performed within the data package, sometimes requiring updates with every received data symbol [22]. Such Doppler estimation techniques have been specifically developed for different single-carrier modulation schemes [7], [26]- [28].…”

Section: Introductionmentioning

confidence: 99%

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Multibranch Autocorrelation Method for Doppler Estimation in Underwater Acoustic Channels

Zakharov

Henson

2018

IEEE J. Oceanic Eng.

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In underwater acoustic (UWA) communications, Doppler estimation is one of the major stages in a receiver. Two Doppler estimation methods are often used: cross-ambiguity function (CAF) method and single-branch autocorrelation (SBA) method. The former results in accurate estimation but with a high complexity, whereas the latter is less complicated but also less accurate. In this paper, we propose and investigate a multi-branch autocorrelation (MBA) Doppler estimation method. The proposed method can be used in communication systems with periodically transmitted pilot signals or repetitive data transmission. For comparison of the Doppler estimation methods, we investigate an OFDM communication system in multiple dynamic scenarios using the Waymark simulator, allowing virtual underwater acoustic signal transmission between moving transmitter and receiver. For the comparison, we also use the OFDM signals recorded in a sea trial. The comparison shows that the receiver with the proposed MBA Doppler estimation method outperforms the receiver with the SBA method and its detection performance is close to that of the receiver with the CAF method, but with a significantly lower complexity.

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Section: Appendix a Derivation Of Mba Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multibranch Autocorrelation Method for Doppler Estimation in Underwater Acoustic Channels

Zakharov

Henson

2018

IEEE J. Oceanic Eng.

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“…Similar doubly selective methods were proposed by Hrycak et al [53], Cano et al [54], and Fang et al [55] who achieved better BER performance by use of soft MMSE block equalizer (BE) which exploits banded structure of the frequency domain channel matrix to achieve compensation in high Doppler spreads. Using the same approach are Schniter [56] and Hrycak and Matz [57] who obtained excellent performance including significant Doppler diversity in conjunction with channel coding by basing operation on time domain, while Parrish et al [58] obtained similar results with time-synchronization protocols.…”

Section: Time-partitioning-based Schemesmentioning

confidence: 96%

Doppler Shift Compensation Schemes in VANETs

Nyongesa¹,

Djouani²,

Olwal³

et al. 2015

Mobile Information Systems

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Over the last decade vehicle-to-vehicle (V2V) communication has received a lot of attention as it is a crucial issue in intravehicle communication as well as in Intelligent Transportation System (ITS). In ITS the focus is placed on integration of communication between mobile and fixed infrastructure to execute road safety as well as nonsafety information dissemination. The safety application such as emergence alerts lays emphasis on low-latency packet delivery rate (PDR), whereas multimedia and infotainment call for high data rates at low bit error rate (BER). The nonsafety information includes multimedia streaming for traffic information and infotainment applications such as playing audio content, utilizing navigation for driving, and accessing Internet. A lot of vehicular ad hoc network (VANET) research has focused on specific areas including channel multiplexing, antenna diversity, and Doppler shift compensation schemes in an attempt to optimize BER performance. Despite this effort few surveys have been conducted to highlight the state-of-the-art collection on Doppler shift compensation schemes. Driven by this cause we survey some of the recent research activities in Doppler shift compensation schemes and highlight challenges and solutions as a stock-taking exercise. Moreover, we present open issues to be further investigated in order to address the challenges of Doppler shift in VANETs.

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“…Moreover, UWSN has long propagation delay, limited bandwidth, limited transmission rate, high bit error rate and so on [12]. The propagation speed of underwater acoustic channel is five orders slower than radio waves, thus resulting in significantly longer propagation delay [13], which makes relatively large Doppler Effect and inter symbol interference.…”

Section: Introductionmentioning

confidence: 99%

Time Synchronization for Mobile Underwater Sensor Networks

Guo¹,

Liu²

2013

JNW

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Time synchronization is very crucial for the implementation of energy constricted underwater wireless sensor networks (UWSN). The purpose of this paper is to present a time synchronization algorithm which is suitable to UWSN. Although several time synchronization protocols have been developed, most of them tend to break down when implemented on mobile underwater sensor networks. In this paper, we analyze the effect of node mobility, and propose a Mobile Counteracted Time Synchronization approach, called “Mc-Sync”, which is a novel time synchronization scheme for mobile underwater acoustic sensor networks. It makes use of two mobile reference nodes to counteract the effect of node mobility. We also analyze and design the optimized trajectories of the two mobile reference nodes in underwater environment. We show through analysis and simulation that Mc-Sync provides much better performance than existing schemes

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Symbol by symbol Doppler rate estimation for highly mobile underwater OFDM

Cited by 21 publications

References 13 publications

Multibranch Autocorrelation Method for Doppler Estimation in Underwater Acoustic Channels

Multibranch Autocorrelation Method for Doppler Estimation in Underwater Acoustic Channels

Doppler Shift Compensation Schemes in VANETs

Time Synchronization for Mobile Underwater Sensor Networks

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