Journal of Applied Sciences ›› 2010, Vol. 28 ›› Issue (2): 129-135.

• Signal and Information Processing • Previous Articles     Next Articles

Performance of Online Blind Separation of Dynamically Segmented Mixed Acoustic Signal for CVR

  

  1. 1. Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
    2. Civil Aviation Safety Technical Center of CAAC, Beijing 100028, China
    3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2009-10-28 Revised:2010-01-06 Online:2010-03-30 Published:2010-03-30

Abstract:

Considering the existence of slight time-varying characteristics and a large number of near-zero signal values, we propose an online blind separation algorithm based on signal sample dynamic segmentation. The online algorithm of independent component analysis (ICA) is used to achieve dynamic segmentation. The FastICA algorithm is executed until converging to an optimal solution. To obtain better performance, weights of the rows in the separation matrix are adjusted. Simulation results show excellent performance of the proposed algorithm, indicating that the algorithm can effectively separate mixed acoustic signals recorded by CVR.

Key words: cockpit voice recorder (CVR),, mixed acoustic signal, on-line blind separation algorithm, dynamic segmentation

CLC Number: