Title :
Multistatic adaptive active sonar signal processing
Author :
Ling, Jun ; Li, Jian
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
Multistatic active sonar systems involve the transmission and reception of multiple probing sequences, which provide a basis for extraction of target information in a region of interest. Since the multiple probing sequences act as interferences to one another, adaptive receiver filters are needed for interference suppression. Two adaptive receiver designs, namely the iterative adaptive approach and the sparse learning via iterative minimization method, are considered for range-Doppler imaging via multistatic active sonar. The effectiveness of the proposed multistatic active sonar techniques is verified using numerical examples.
Keywords :
adaptive filters; feature extraction; iterative methods; minimisation; sonar imaging; adaptive receiver designs; adaptive receiver filters; interference suppression; iterative adaptive approach; iterative minimization method; multiple-probing sequences; multistatic active sonar; multistatic active sonar techniques; multistatic adaptive active sonar signal processing; range-Doppler imaging; sparse learning; target information extraction; Doppler effect; Imaging; Iterative methods; Minimization; Receivers; Sonar; Transmitters;
Conference_Titel :
OCEANS, 2011 IEEE - Spain
Conference_Location :
Santander
Print_ISBN :
978-1-4577-0086-6
DOI :
10.1109/Oceans-Spain.2011.6003640