Non-linear processing based on Dolphin inspired real LFM signals for enhanced delay-Doppler resolution

In this paper, we study two non-linear processing approaches, inspired by biosonars, to enhance the delay-Doppler resolution. We use real linear frequency modulated (LFM) signals to fulfill a model, based on an abstraction and modification of the dolphin signals of certain species. With the help of...

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Published inOCEANS 2014 - TAIPEI pp. 1 - 7
Main Authors Dongzhou Zhan, Hangfang Zhao, Wen Xu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
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Abstract In this paper, we study two non-linear processing approaches, inspired by biosonars, to enhance the delay-Doppler resolution. We use real linear frequency modulated (LFM) signals to fulfill a model, based on an abstraction and modification of the dolphin signals of certain species. With the help of Hilbert transform, two delay-Doppler images can be generated through single LFM signal. Non-linear algorithms are then applied and analyzed for producing a super delay-Doppler resolution when combining the images together. We also investigate the detection performance of those algorithms. Overall, the developed non-linear processing offers a great improvement in delay-Doppler resolution while the detection performance is close to that of the conventional matched filter receiver without significant increase in system or computational complexity.
AbstractList In this paper, we study two non-linear processing approaches, inspired by biosonars, to enhance the delay-Doppler resolution. We use real linear frequency modulated (LFM) signals to fulfill a model, based on an abstraction and modification of the dolphin signals of certain species. With the help of Hilbert transform, two delay-Doppler images can be generated through single LFM signal. Non-linear algorithms are then applied and analyzed for producing a super delay-Doppler resolution when combining the images together. We also investigate the detection performance of those algorithms. Overall, the developed non-linear processing offers a great improvement in delay-Doppler resolution while the detection performance is close to that of the conventional matched filter receiver without significant increase in system or computational complexity.
Author Hangfang Zhao
Wen Xu
Dongzhou Zhan
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  surname: Dongzhou Zhan
  fullname: Dongzhou Zhan
  organization: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
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  surname: Hangfang Zhao
  fullname: Hangfang Zhao
  organization: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
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  surname: Wen Xu
  fullname: Wen Xu
  email: wxu@zju.edu.cn
  organization: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
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Snippet In this paper, we study two non-linear processing approaches, inspired by biosonars, to enhance the delay-Doppler resolution. We use real linear frequency...
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StartPage 1
SubjectTerms Chirp
delay-Doppler resolution
Dolphins
Doppler effect
Hilbert transform
Matched filters
Non-linear processing
Receivers
Signal resolution
Wideband
wideband ambiguity function
Title Non-linear processing based on Dolphin inspired real LFM signals for enhanced delay-Doppler resolution
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