Real-time Signal Acquisition Algorithm and Optimization for DSSS Broadband Underwater Acoustic Positioning

F. Shang, Wen Zhang, Xiangguo Chen, Yu Zhang
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Abstract

Traditional underwater acoustic positioning signals are difficult to achieve both high accuracy and long effective measurement distance. Therefore, a wideband underwater positioning software receiver based on Direct Sequence Spread Spectrum (DSSS) technique was designed in this paper. However, the DSSS signal has the disadvantages of requiring transmission periodic extension and Doppler sensitivity for real-time acquisition. Thus, the overlap-save cyclic correlation method was adopted in order to avoid DSSS signal transmitting periodic extension and minimize the signal width. Meanwhile, a sample frequency-shift Doppler search method was proposed to reduce the acquisition algorithm complexity caused by the Doppler sensitivity of DSSS signal. Using the two optimized methods above, the designed software receiver could be applied to various low-power processors within an acceptable processing gain loss for real-time DSSS signal acquisition. The sea experiment was conducted using the optimized software receiver, which verified the effectiveness of the optimized real-time acquisition algorithm.
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DSSS宽带水声定位实时信号采集算法及优化
传统的水声定位信号难以同时实现高精度和较长的有效测量距离。为此,本文设计了一种基于直接序列扩频(DSSS)技术的宽带水下定位软件接收机。然而,DSSS信号的缺点是需要传输周期延长和多普勒灵敏度来实现实时采集。因此,为了避免DSSS信号传输周期扩展,最小化信号宽度,采用了免重叠循环相关方法。同时,提出了一种采样频移多普勒搜索方法,降低了DSSS信号多普勒灵敏度带来的采集算法复杂度。采用上述两种优化方法,设计的软件接收机可以在可接受的处理增益损失范围内应用于各种低功耗处理器,实现实时DSSS信号采集。利用优化后的软件接收机进行了海上实验,验证了优化后的实时采集算法的有效性。
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