A new scheme is proposed to separate several compressed video signals transferred in multiple wireless channels using the blind source separation method. The scheme selects IEEE 802.11b and XVID compression as the wireless communications channel and MPEG-4 video compression, respectively. A simulation model is then made for the video communications under a wireless environment. The model can separate several video signals using blind source separation. Simulations show that the normalized whiten plus cyclic whiten based on cyclostationary (NWCW-CS) algorithm based upon the cyclostationary characteristics of signals has the best separation performance and fast convergence. Besides, the algorithm can solve the mixing of video signals. The image of the transferred video signals decompressed by XVID is nearly consistent with the source ones. The new method meets the requirement of real-time video communications.
GUO Jie, SHEN Lianfeng, SONG Tiecheng, YE Zhihui
. Study and simulation of video communications
under wireless environment based on blind source separation[J]. Frontiers of Electrical and Electronic Engineering, 2008
, 3(4)
: 418
-424
.
DOI: 10.1007/s11460-008-0075-6
1. Ferréol A, Chevalier P . On the behavior of currentsecond and higher order blind source separation methods for cyclostationarysources. IEEE Transactions on Signal Processing, 2000, 48(6): 1712–1725. doi:10.1109/78.845929
2. Abed-Meraim K, Xiang Y, Manton J H, et al.. Blind source separation using second-order cyclostationarystatistics. IEEE Transactions on SignalProcessing, 2001, 49(4): 694–701. doi:10.1109/78.912913
3. Garnder W A . Cyclic Wiener Filtering: theory and method. IEEE Transactions on Communications, 1993, 41(1): 151–163. doi:10.1109/26.212375
4. Wang Y, Ostermann J, Zhang Y Q . Video Processing and Communications (in Chinese, trans.Hou Zhengxin).Beijing: Publishing House of ElectronicsIndustry, 2003, 398–423
5. Chen Q M, Yu Y, Yang Z . Mobile supervisory system based on WLAN. Instrumentation Technology, 2005, (1): 29–31 (in Chinese)
6. IEEE Std 802. 11b-1999. . LAN/MANStandards Committee. New York: The Institute of Electrical and Electronics Engineers, 2000
7. Cardoso J F, Laheld B H . Equivariant adaptive sourceseparation. IEEE Transactions on SignalProcessing, 1996, 44(12): 3017–3030. doi:10.1109/78.553476
8. Jafari M G, Alty S R, Chambers J A . New natural gradient algorithms for cyclostationary sources. In: IEE Proceedings of Vision, Image and SignalProcessing. 2004, 151(1): 62–68. doi:10.1049/ip-vis:20040305
9. Jafari M G, Chambers J A, Mandic D P . Natural gradient algorithms for cyclostationary sources. Electronics Letters, 2002, 38(14): 758–759. doi:10.1049/el:20020503