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An Improved Pilot-free De-spreading Algorithm for Underwater Acoustic Orthogonal Frequency Division Multiplexing Spread Spectrum Communication

机译：水下声正交频分复用扩频通信的一种改进的无导频解扩算法

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摘要

Underwater acoustic (UA) communication channel in the shallow water is fast time-varying and selective fading. Proper de-spreading method is needed for the orthogonal frequency division multiplexing spread spectrum UA communication system to reconstruct the information. The conventional de-spreading algorithm decrease the communication rate due to the using of the pilot for channel estimation. To accurately estimate the channel response without much loss in communication efficiency, an improved pilot-free spread spectrum de-spreading (IPSSD) method is proposed in this paper. This algorithm first recognizes the spread spectrum signal in frequency domain using the sparseness of the underwater acoustic channel. Then a decision feedback estimation of the channel impulse response is achieved according to the recognition results. The least square method is utilized to decrease the estimation complexity, and channel puncturing technique is exploited to correct the estimation error, thus realizing the robust performance of the communication system. The results obtained by Monte Carlo simulation and lake-trial are provided, demonstrating that the new pilot-free algorithm can significantly improve the performance of de-spreading algorithm under the circumstance of limited spreading length, and hence, increase the communication efficiency.
机译：浅水区的水下声学（UA）通信通道具有快速时变和选择性衰落的特性。正交频分复用扩频UA通信系统需要适当的解扩方法来重建信息。由于使用导频进行信道估计，传统的解扩算法降低了通信速率。为了在不影响通信效率的前提下准确地估计信道响应，本文提出了一种改进的无导频扩频解扩（IPSSD）方法。该算法首先使用水下声学通道的稀疏性来识别频域中的扩频信号。然后根据识别结果对信道冲激响应进行决策反馈估计。利用最小二乘法来降低估计复杂度，并利用信道打孔技术来校正估计误差，从而实现通信系统的鲁棒性能。提供了通过蒙特卡罗模拟和湖边试验获得的结果，证明了新的无导频算法可以在扩展长度有限的情况下显着提高解扩算法的性能，从而提高通信效率。

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