Sub-Optimum Detector Based on Reverbertion-Whiten in FrFT Field

Target detection in the presence of strong seabed reverberation is a hot research topic nowadays. This kind of target detection method is similar to signal detection with known shape and unknown parameters under non-WGN or coherent signal detection in reverberation. When a LFM signal is choose as tr...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 577; no. Applied Decisions in Area of Mechanical Engineering and Industrial Manufacturing; pp. 810 - 815
Main Author Li, Zhen Gang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.07.2014
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Target detection in the presence of strong seabed reverberation is a hot research topic nowadays. This kind of target detection method is similar to signal detection with known shape and unknown parameters under non-WGN or coherent signal detection in reverberation. When a LFM signal is choose as transmitted signal, target echo has excellent time-frequency focusing property on a certain rotating angle and reverberation could lose its original linear modulation property. LFM signal can be transformed to a sine signal with some rank FrFT. Since FrFT is a linear transform, interference including reverberation and noise will keep former statistic characteristics. So LFM signal detection is thus equivalent to detection of sine signals in absence of colored noise. The reverberation will be easily erased and target echo will be preserved. Based on the analysis above all, a sub-optimum detector based on reverberation-whiten in FrFT field is advanced. The validity of these conclusions is validated by computer simulations. A satisfying result is achieved.
Bibliography:Selected, peer reviewed papers from the 3rd International Conference on Mechanical, Control, and Electronic Information (ICMCEI 2014), June 27-29, 2014, Taiwan
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISBN:9783038351559
3038351555
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.577.810