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 in | OCEANS 2014 - TAIPEI pp. 1 - 7 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
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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. |
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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 |
Author_xml | – sequence: 1 surname: Dongzhou Zhan fullname: Dongzhou Zhan organization: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China – sequence: 2 surname: Hangfang Zhao fullname: Hangfang Zhao organization: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China – sequence: 3 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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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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