Overview of Normalization techniques for active Sonar: Simulations and results. | [Proceedings 6th International Bhurban Conference on Applied Sciences and Technology • 2009]

Author(s):

1. Asim Masud Bhatti: Maritime Technologies Complex (MTC), National Engineering and Scientific Commission (NESCOM), Islamabad, Pakistan

2. Asim Ismail: Maritime Technologies Complex (MTC), National Engineering and Scientific Commission (NESCOM), Islamabad, Pakistan

3. Amjad Malik: Maritime Technologies Complex (MTC), National Engineering and Scientific Commission (NESCOM), Islamabad, Pakistan

Abstract:

Different normalization techniques like TPM (Two-pass mean), S3PM (Split three-pass mean), SAXA (Split average exclude average) and OTA (order truncate average) are extensively used for passive sonar normalization. However all these techniques assume that noise background is uniform and stationary which is acceptable in case of passive sonar however in active sonar due to reverberation the background noise is non stationary and non uniform. The results of a simulation based performance analysis of LMS (Least Mean Square) adaptive Normalization [1] and TM (Trimmed-Mean) Normalization [2] commonly considered for use in active sonar applications are presented in this paper. In active sonar both techniques can be used as range normalization by running it over range cells in each Doppler bin, or as a frequency normalization by operating across Doppler cells in each range bin.

Page(s): 373-379

DOI: DOI not available

Published: Journal: Proceedings 6th International Bhurban Conference on Applied Sciences and Technology , Volume: 1, Issue: 0, Year: 2009

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