NEW FAST ALGORITHMS OF UNDERWATER MOVING-TARGET DYNAMIC LINE ENHANCEMENT

摘要

To overcome the disadvantage of the great computational load of cumulant estimate and improve the ability of the underwater detection system to detect underwater moving target, we present new fast algorithms of the higher-order cumulant-based leakage sign iteration adaptive dynamic line enhancement (HOC-BLSIADLE). The main idea of these algorithms is to employ the sign of the input or the sign of a function of the input for updating cumulants and reducing the computational complexity. The proposed algorithms are now approaches capable of suppressing Gaussian noise. The computational load of the proposed algorithms is only half of that of Cumulant-based leakage non-sign iteration algorithm. The enhancement process of the signals radiated by the underwater moving target is dynamically simulated by the proposed algorithms. The simulation results show that the higher-order cumualnt-based leakage sign iteration algorithm based on the sign of the non-input or the sign of a function of the input is the best of all leakage sign iteration algorithms in the respect of suppressing Gaussian noise, and that the higher-order cumulant-based leakage sign iteration algorithms outperform the cumulant-based leakage non-sign iteration algorithm. The research has important value and applied future in the engineering.