سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۵

نویسنده(ها):

Ashkan Tashk – Shiraz University of Technology
Shapoor Khorshidi – Marine Research Center Shiraz

چکیده:

There are many proposed methods for active sonar target echo detection in reverberation background via either optimal or suboptimal signal processing procedures. Among suchmethods, those ones which are based on mere filtering, e.g. matched filter, are both efficient and flexible, but suffer fromsome deficiencies such as high computational complexity or more additional requirements for post-processing. In this paper, an adaptively order-selected pre-whiten filtering method based on autoregressive (AR) modeling of the reverberation data at the active sonar receiving hydrophone is proposed. This method isable to overcome the deficiencies of former filtering methods. This is achieved by applying an AR pre-whiten filter that has itsorder selected adaptively using data partitioning. The adaptive order selection of AR pre-whiten filter is done by the use of FPEF which is a high performance AR order selection criterion. The results of simulation show that the proposed method is more efficient than the previously proposed order/reverse partition ARpre-whiten algorithm in the sense of echo-to-reverberation ratio (ERR)