啁啾信号在水下违规抛泥监测系统中的应用

Application of Chirp Signal in Underwater Acoustic Supervision System for Illegal Throwing Sand Behavior Detection

为找到一种高效便捷的方法判断疏浚船舶是否存在违规抛泥行为,研究了基于啁啾信号探测抛泥行为的方法。设计了3种实现方案:分段FFT(Fast Fourier Transformation)快速相关、FRFT(Fractional Fourier Transform)变换、去斜脉冲压缩。结合五缘湾实验及仿真结果验证了3种方案的可行性,同时发现:FRFT变换抗多径和抗噪性能最佳,而去斜脉冲压缩算法效果最差。通过分析:当多径影响较为严重时,建议使用FRFT算法进行检测;当多径影响较小而对数据实时性处理要求较高的时,建议使用分段FFT快速相关算法进行检测。

To find an efficient and convenient method to determine whether a dredging is illegal is a very meaningful research content. A method of detection of throwing sand behavior based on Chirp signal was studied and three implementation schemes （subsection FFTfast correlation）, FRFT and DeChirp were designed. The feasibility of the three schemes was verified by Wu Yuan Bay experiment and the simulation results. Anti-multipath and anti-noise performance of FRFT transform is the best. The performance of dechirp is the worst. Through the analysis, it comes out the conclusion： when the multipath effect is serious, FRFT algorithm for detection is recommended,＂ When the multipath effect is small and the requirement of the data real-time processing is strict, subsection FFT fast correlation algorithms for detection is recommended.