In the shallow water environment, multipath interference will affect the performance of underwater target detection and increase the false alarm probability. Thus, algorithm about multipath interference cancellation is a key to the target detection in shallow water environment. Adaptive LMS algorithm can suppress multipath interference effectively. But when the disturbance lasts too long or its space distribution ranges too wide, the adaptive LMS algorithm needs filter with higher order and huge amount of calculation, bringing difficulties to practical applications. Through analyzing the formation mechanism and distribution characteristics of multipath interference in shallow water, and establishing its theoretical model. Then, we propose a variable step size adaptive multipath interference cancellation algorithm based on partial-update of the weight coefficients. This algorithm resolves the contradiction between calculation amount and convergence speed by periodically updating weight coefficients and using variable step method based on improved Sigmoid function. Theoretical analysis and simulation results show that the proposed algorithm performs well on multipath interference cancellation. It can effectively reduce the calculation amount while keeping a fast convergence speed.
Key words
multipath interference /
adaptive interference suppress /
partial-update /
variable step size
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