Multicarrier communication over underwater acoustic channels with nonuniform Doppler shifts

Author Posting. © IEEE, 2008. This article is posted here by permission of IEEE for personal use, not for redistribution. The definitive version was published in IEEE Journal of Oceanic Engineering 33 (2008): 198-209, doi:10.1109/JOE.2008.920471.Underwater acoustic (UWA) channels are wideband in nature due to the small ratio of the carrier frequency to the signal bandwidth, which introduces frequency-dependent Doppler shifts. In this paper, we treat the channel as having a common Doppler scaling factor on all propagation paths, and propose a two-step approach to mitigating the Doppler effect: 1) nonuniform Doppler compensation via resampling that converts a "wideband" problem into a "narrowband" problem and 2) high-resolution uniform compensation of the residual Doppler. We focus on zero-padded orthogonal frequency-division multiplexing (OFDM) to minimize the transmission power. Null subcarriers are used to facilitate Doppler compensation, and pilot subcarriers are used for channel estimation. The receiver is based on block-by-block processing, and does not rely on channel dependence across OFDM blocks; thus, it is suitable for fast-varying UWA channels. The data from two shallow-water experiments near Woods Hole, MA, are used to demonstrate the receiver performance. Excellent performance results are obtained even when the transmitter and the receiver are moving at a relative speed of up to 10 kn, at which the Doppler shifts are greater than the OFDM subcarrier spacing. These results suggest that OFDM is a viable option for high-rate communications over wideband UWA channels with nonuniform Doppler shifts.B. Li and S. Zhou are supported by the ONR YIP grant N00014-07-1-0805 and the NSF grant ECCS-0725562. M. Stojanovic is supported by the ONR grant N00014-07-1-0202. L. Freitag is supported by the ONR grants N00014- 02-6-0201 and N00014-07-1-0229. P. Willett is supported by the ONR grant N00014-07-1-0055

Sparse channel estimation for multicarrier underwater acoustic communication : from subspace methods to compressed sensing

Author Posting. © IEEE, 2009. This article is posted here by permission of IEEE for personal use, not for redistribution. The definitive version was published in IEEE Transactions on Signal Processing 58 (2010): 1708-1721, doi:10.1109/TSP.2009.2038424.In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We use a path-based channel model, where the channel is described by a limited number of paths, each characterized by a delay, Doppler scale, and attenuation factor, and derive the exact inter-carrierinterference (ICI) pattern. For channels that have limited Doppler spread we show that subspace algorithms from the array processing literature, namely Root-MUSIC and ESPRIT, can be applied for channel estimation. For channels with Doppler spread, we adopt a compressed sensing approach, in form of Orthogonal Matching Pursuit (OMP) and Basis Pursuit (BP) algorithms, and utilize overcomplete dictionaries with an increased path delay resolution. Numerical simulation and experimental data of an OFDM block-by-block receiver are used to evaluate the proposed algorithms in comparison to the conventional least-squares (LS) channel estimator.We observe that subspace methods can tolerate small to moderate Doppler effects, and outperform the LS approach when the channel is indeed sparse. On the other hand, compressed sensing algorithms uniformly outperform the LS and subspace methods. Coupled with a channel equalizer mitigating ICI, the compressed sensing algorithms can effectively handle channels with significant Doppler spread.C. Berger, S. Zhou, and P. Willett are supported by ONR grants N00014-09-10613, N00014-07-1-0805, and N00014-09-1-0704

Adaptive Modulation Schemes for Underwater Acoustic OFDM Communication

High data rate communication is challenging in underwater acoustic (UA) communication as UA channels vary fast along with the environmental factors. A real-time Orthogonal frequency-division multiplexing (OFDM) based adaptive UA communication system is studied in this research employing the National Instruments (NI) LabVIEW software and NI CompactDAQ device. The developed adaptive modulation schemes enhance the reliability of communication, guarantee continuous connectivity, ensure maximum performance under a fixed BER at all times and boost data rate

Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system

This paper presents a hybrid sparse channel estimation based on Fractional Fourier Transform (FrFT) for orthogonal frequency division multiplex (OFDM) scenario to exploit channel sparsity of underwater acoustic (UWA) channel. A novel channel dictionary matrix based on chirp signals is constructed and mutual coherence is adopted to evaluate its preservation of sparse information. In addition, Compressive Sampling Matching Pursuit (CoSaMP) is implemented to estimate the sparse channel coefficients. Simulation results demonstrate a significant Normalized Mean Square Error (NMSE) improvement of 10dB over Basis Expansion Model (BEM) with less complexity

Underwater acoustic communication under doppler effects

In this thesis we perform a research survey of the three available technologies for wireless underwater communications. We discuss the main features and drawbacks inherent to acoustic, RF, and optical communications. We focus our research on underwater acoustic communications, and we analyze and evaluate the channel frequency response of Arraial do Cabo using data acquired in situ. We further investigate the Doppler effect, a phenomenon that is inherent to underwater acoustic channels. We analyze and justify a compensation algorithm to mitigate the Doppler effects. We propose a simplified algorithm version for minimizing the required number of pilot symbols. We also develop a simple strategy to determine how often our proposed compensation method should be retrained. Our main contribution is the proposal of a new receiver design to deal with Doppler effects. We present the idea of iteratively adapt the correlator filter placed at the receiver side. We show that the adaptation of this filter’s support reduces the inter-symbol interference of the estimated symbols. Besides this idea, we demonstrate that the time-dependent phase-shift component of the received signal should be removed beforehand. That is, we propose a modification in the signal processing sequence blocks for improving the symbol estimation. For testing and comparing this new receiver design, we implement a communication model encompassing physical layer aspects. We perform several numerical simulations for single-carrier and multicarrier systems. Simulation results show that our proposal might provide a reduction in the bit error rate for high signal-to-noise ratios. This performance improvement can be observed for all tested relative movement, and even with dense digital signal constellation.Nesta tese foi realizada uma pesquisa extensa sobre as tecnologias existentes para comunicação sem fio subaquática. Foram analisadas as principais características das comunicações acústicas, RF e ótica. O estudo foi aprofundado na comunicação acústica, e foi realizada uma análise da resposta em frequência do canal de Arraial do Cabo com dados adquiridos no local. O efeito Doppler, um fenômeno inerente aos canais subaquáticos acústicos, foi investigado de forma minuciosa. Dentre as técnicas estudas para compensação deste efeito, foi escolhido um algoritmo adaptativo, o qual foi re-analisado com uma nova abordagem. Uma versão simplificada deste algoritmo foi proposta para reduzir a quantidade de símbolos pilotos. Foi também desenvolvida uma estratégia para determinar a frequência de treinamento deste novo algoritmo. A principal contribuição da tese é a proposta de uma nova estrutura de receptor para compensar o efeito Doppler. Nesta estrutura, é proposta a adaptação de forma iterativa do filtro correlator. A adaptação do suporte temporal deste filtro reduz a interferência inter-simbólica. Além desta ideia, foi demonstrado que a componente de fase do sinal recebido, que é dependente do tempo, deve ser removida em um estágio anterior ao usual. Ou seja, foi proposta uma modificação na sequência do processamento do sinal recebido para melhorar a sua estimativa. Para testar esta nova estrutura do receptor, foi implementado um sistema de comunicação. Foram realizadas simulações numéricas com sistemas de uma única e de múltiplas portadoras. Os resultados das simulações mostram que a nova estrutura pode reduzir a quantidade de erros de bits para altos valores de razão sinal-ruído. A melhora do desempenho pode ser observada em todas as velocidades relativas testadas, e também para constelações densas

Doctor of Philosophy

dissertationThe demand for high speed communication has been increasing in the past two decades. Multicarrier communication technology has been suggested to address this demand. Orthogonal frequency-division multiplexing (OFDM) is the most widely used multicarrier technique. However, OFDM has a number of disadvantages in time-varying channels, multiple access, and cognitive radios. On the other hand, filterbank multicarrier (FBMC) communication has been suggested as an alternative to OFDM that can overcome the disadvantages of OFDM. In this dissertation, we investigate the application of filtered multitone (FMT), a subset of FBMC modulation methods, to slow fading and fast fading channels. We investigate the FMT transmitter and receiver in continuous and discrete time domains. An efficient implementation of FMT systems is derived and the conditions for perfect reconstruction in an FBMC communication system are presented. We derive equations for FMT in slow fading channels that allow evaluation of FMT when applied to mobile wireless communication systems. We consider using fractionally spaced per tone channel equalizers with different number of taps. The numerical results are presented to investigate the performance of these equalizers. The numerical results show that single-tap equalizers suffice for typical wireless channels. The equalizer design study is advanced by introducing adaptive equalizers which use channel estimation. We derive equations for a minimum mean square error (MMSE) channel estimator and improve the channel estimation by considering the finite duration of channel impulse response. The results of optimum equalizers (when channel is known perfectly) are compared with those of the adaptive equalizers, and it is found that a loss of 1 dB or less incurs. We also introduce a new form of FMT which is specially designed to handle doubly dispersive channels. This method is called FMT-dd (FMT for doubly dispersive channels). The proposed FMT-dd is applied to two common methods of data symbol orientation in the time-frequency space grid; namely, rectangular and hexagonal lattices. The performance of these methods along with OFDM and the conventional FMT are compared and a significant improvement in performance is observed. The FMT-dd design is applied to real-world underwater acoustic (UWA) communication channels. The experimental results from an at-sea experiment (ACOMM10) show that this new design provides a significant gain over OFDM. The feasibility of implementing a MIMO system for multicarrier UWA communication channels is studied through computer simulations. Our study emphasizes the bandwidth efficiency of multicarrier MIMO communications .We show that the value of MIMO to UWA communication is very limited