DocumentCode :
2224828
Title :
A Pre-Whiten Method for Active Sonar in Reverberation Background
Author :
Wang He ; Li Jie ; Huang Kewei ; Cheng Xinyi ; Niu Sanku
Author_Institution :
Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
3733
Lastpage :
3736
Abstract :
Matched filter, the optimal receiver in white noise, is not always optimum in reverberation background. A pre-whiten filter to restrain the reverberation is proposed. On the premise of Gaussian color noise model of reverberation with local stationarity, a method using all-pole partition pre-whiten filters is proposed based on autoregressive(AR) model, which is adaptive. Priori knowledge of the noise and reverberation are not required. An algorithm called reverse partition pre-whiten is also brought forward versus the order partition pre-whiten algorithm. Simulation results are presented to show that the method is effective in enhancing the echo-to-reverberation ratio, and the performance of reverse partition pre-whiten algorithm is better than the order partition pre-whiten algorithm.
Keywords :
Gaussian noise; autoregressive processes; matched filters; receivers; reverberation; sonar; white noise; Gaussian color noise model; active sonar; autoregressive model; echo-to-reverberation ratio; matched filter; optimal receiver; pre-whiten filter; pre-whiten method; reverberation background; white noise; Adaptive filters; Colored noise; Equations; Helium; Information science; Matrix decomposition; Partitioning algorithms; Reverberation; Sonar detection; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.137
Filename :
5455207
Link To Document :
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