An Improved Background Normalization Algorithm for Noise Resilience in Low Frequency

Background normalization algorithms attempt to suppress the ambient and self-noise during measurements of sonar, which enhance detection performance display effect weak signals. Conventional background methods are usually sensitive accuracy prior set filtering interval threshold, while significant noise is still detected in low frequency. In this paper, an improved algorithm proposed by thresholding processing between several local peak values valley values. Compared existing scenarios, approach automatically calculates with substantial resilience level Experimental results illustrate effectiveness our algorithm.