Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing
AbstractMultichannel receivers are usually employed in high-rate underwater acoustic communication to achieve spatial diversity. In the context of multichannel underwater acoustic communications, passive time reversal (TR) combined with a single-channel adaptive decision feedback equalizer (TR-DFE) is a low-complexity solution to achieve both spatial and temporal focusing. In this paper, we present a novel receiver structure to combine passive time reversal with a low-order multichannel adaptive decision feedback equalizer (TR-MC-DFE) to improve the performance of the conventional TR-DFE. First, the proposed method divides the whole received array into several subarrays. Second, we conduct passive time reversal processing in each subarray. Third, the multiple subarray outputs are equalized with a low-order multichannel DFE. We also investigated different channel estimation methods, including least squares (LS), orthogonal matching pursuit (OMP), and improved proportionate normalized least mean squares (IPNLMS). The bit error rate (BER) and output signal-to-noise ratio (SNR) performances of the receiver algorithms are evaluated using simulation and real data collected in a lake experiment. The source-receiver range is 7.4 km, and the data rate with quadrature phase shift keying (QPSK) signal is 8 kbits/s. The uncoded BER of the single input multiple output (SIMO) systems varies between
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He, C.; Jing, L.; Xi, R.; Li, Q.; Zhang, Q. Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing. Sensors 2017, 17, 937.
He C, Jing L, Xi R, Li Q, Zhang Q. Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing. Sensors. 2017; 17(4):937.Chicago/Turabian Style
He, Chengbing; Jing, Lianyou; Xi, Rui; Li, Qinyuan; Zhang, Qunfei. 2017. "Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing." Sensors 17, no. 4: 937.
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