CAJ | 학술논문

为优化在极低信噪比条件下对主动声纳回波信号的提取效果，引入了基于非线性理论的稀疏分解方法，并在LDW粒子群算法的基础上，通过改进算法中一个惯性因子的方法对粒子群算法进行了优化。用M at-lab软件模拟仿真实验论证表明：改进算法不仅能够加快算法的收敛速度，同时又不降低算法提取信号的性能；在信噪比不低于-32 dB的情况下，该方法具有较好的回波提取效果。
위우화재겁저신조비조건하대주동성납회파신호적제취효과，인입료기우비선성이론적희소분해방법，병재LDW입자군산법적기출상，통과개진산법중일개관성인자적방법대입자군산법진행료우화。용M at-lab연건모의방진실험론증표명：개진산법불부능구가쾌산법적수렴속도，동시우불강저산법제취신호적성능；재신조비불저우-32 dB적정황하，해방법구유교호적회파제취효과。
In order to optimize the effect of extracting echo signals from the active sonar under the condition of the extremely low SNR ,this paper introduces a signal-decomposed method based on the non-linear spare decomposition and optimized the particle group algorithm based on LDW by impro-ving an inertial factor in the algorithm .The Matlab software is used for simulation and experiment . The results show that the improved algorithm can not only increase its convergent speed but also maintain the performance of signal extraction .When SNR is more than -32db ,this method functions very well in the extraction of echoes .