Fast Signal Retrieval of Sonar in the Presence of Impulse Noise
ID:111 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:389 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)


Session:S Special Session » SS03Multi-Sensor Data Fusion For Underwater Application

Video No Permission

Tips: Only the registered participant can access the file. Please sign in first.

This work develops two fast echo signal retrieval algorithms for sonar, which are able to efficiently work in the presence of impulse noise. First, using spatial sparsity of sonar echo signal, an L21-norm optimization model with lasso form is formulated in impulse noise environment. Then, in order to recover original signal quickly, a direct gradient L21-norm algorithm is employed to solve the optimization problem, where the solution has closed form but two variables need to be initialized. Further, the original problem is transformed into a constrained minimization problem and then Lagrange multiplier method is used to find the solution. Experimental results show that the proposed two methods have similar mean square error (MSE) performance compared with traditional method using CVX optimization tool, however, computational complexities are greatly reduced.
Lagrange multiplier; Impulse noise; L21-norm; Sparse signal; Gradient
Qiang Li
Shenzhen University, China

Submission Author
Qiang Li Shenzhen University, China
Lei Huang Shenzhen University, China
Liang Zhang Shenzhen University, China
Min Huang Shenzhen University, China
Bo Zhao Shenzhen University, China
Peichang Zhang Shenzhen University, China
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Jun 08



    Jun 11


  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Contact Information