The Application of Improved Variable Step-Size LMS Algorithm in Sonar Signal Processing

The complex and variable ocean environment noise has a very bad influence on the sonar detection signal, which leads to the low probability of finding the target. The adaptive filter can filter the uncertain noise signal, track the change of the signal, and continuously adjust the parameters to achieve the optimal filtering effect. As the traditional adaptive algorithm has the disadvantages of convergence speed and steady-state error, and the poor effect on the impulse noise, an variable step-size LMS algorithm is proposed according to the characteristics of underwater noise sources. The results show that the algorithm can converge quickly, maintain small steady-state error and have good performance on anti-impulse noise.