Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution

Siyuan Cang, Johan Sward, Xueli Sheng, Andreas Jakobsson

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingForskningPeer review

Sammanfattning

In this paper, we propose a blind channel deconvolution method based on the Least Absolute Shrinkage and Selection Operator (LASSO). Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response, and alternatively the transmitted waveform. The resulting optimizations are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.

Originalspråkengelska
Titel på gästpublikationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
FörlagInstitute of Electrical and Electronics Engineers Inc.
ISBN (elektroniskt)9781728123455
DOI
StatusPublished - 2020 aug 21
Evenemang2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, Kina
Varaktighet: 2019 dec 112019 dec 13

Konferens

Konferens2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Land/TerritoriumKina
OrtChongqing
Period2019/12/112019/12/13

Ämnesklassifikation (UKÄ)

  • Reglerteknik

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