Enhanced Mobile Multiple-Input Multiple-Output Underwater Acoustic Communications

Abstract

This paper focuses on mobile multiple-input multiple-output (MIMO) underwater acoustic communications (UAC) over doubleselective channels subject to both intersymbol interference and Doppler scaling effects. Temporal resampling is implemented to effectively convert the Doppler scaling effects to Doppler frequency shifts. Under the assumption that the channels between all the transmitter and receiver pairs experience the same Doppler frequency, a variation of the recently proposed generalization of the sparse learning via iterative minimization (GoSLIM) algorithm, referred to as GoSLIM-V, is employed to estimate the frequency modulated acoustic channels. GoSLIM-V is user parameter free and is easy to use in practical applications. This paper also considers turbo equalization for retrieving the transmitted signal. In particular, this paper reviews the linear minimum mean-squared error (LMMSE) based soft-input soft-output equalizer involved in the turbo equalization scheme and adopts a fast implementation of the equalizer that achieves negligible detection performance degradation compared to its direct implementation counterpart. The effectiveness of the considered MIMO UAC scheme is demonstrated using both simulated data and measurements recently acquired during the MACE10 in-water experiment.

Research on fault tolerance of communication network based on network structure

“…The most basic method of fault tolerance is redundancy technology. Redundancy is the additional resources that exceed the normal functions of the system [6]. Redundancy methods are widely used in fault-tolerant strategies to detect, diagnose and recover errors during system operation.…”

Research on Optimization of Communication Network Transmission Based on Big Data

“…Conduct accurate, multidimensional and multifaceted consideration of multiple factors. Although big data originated from information and communication technology, its impact on society, economy and life is not limited to the technical level [4]. In essence, big data provides us with a new way to look at the world, that is, decision-making behavior will increasingly be based on data, rather than relying more on experience and intuition as in the past.…”