1 / 12

UTILIZING CHANNEL CODING INFORMATION IN CIVA-BASED BLIND SEQUENCE DETECTORS

UTILIZING CHANNEL CODING INFORMATION IN CIVA-BASED BLIND SEQUENCE DETECTORS. Xiaohua(Edward) Li Department of Electrical and Computer Engineering State University of New York at Binghamton xli@binghamton.edu, http://ucesp.ee.binghamton.edu/~xli. Contents. Introduction System models

jacoba
Download Presentation

UTILIZING CHANNEL CODING INFORMATION IN CIVA-BASED BLIND SEQUENCE DETECTORS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. UTILIZING CHANNEL CODING INFORMATION IN CIVA-BASED BLIND SEQUENCE DETECTORS Xiaohua(Edward) Li Department of Electrical and Computer Engineering State University of New York at Binghamton xli@binghamton.edu, http://ucesp.ee.binghamton.edu/~xli

  2. Contents • Introduction • System models • Joint CIVA and channel decoding • Simulations • Conclusions

  3. I Introduction • Problems in blind equalization • Not robust to ill-conditioned channels • Local convergence, slow convergence (SISO methods) • Can not resolve common roots among sub-channels (SIMO methods)

  4. CIVA(channel independent Viterbi algorithm) [1]: effective blind equalizer • Robust to all channel conditions • Superior near MLSE performance • Fast convergence • Propose: CIVA/decoder • Integrate convolutional decoder in CIVA • Use channel coding information to reduce complexity, save hardware

  5. II System Model

  6. Vector model

  7. III CIVA/Decoder • Blind sequence detection

  8. Implement as trellis search • Metric updating rule • Example of trellis and probe

  9. CIVA/Decoder Properties • Have the advantages of both CIVA and channel decoder • Reduce complexity and hardware

  10. IV Simulations • Convolutional encoder: rate ½ • Channel length: 3 • CIVA/Decoder: 32 states • CIVA: 128 states • CIVA/decoder performs better with reduced complexity

  11. Random 3-tap channels. BPSK. 400 samples. Compare: • CIVA: blind CIVA/decoder • MLSE: optimal • VA: training • MMSE: training • PSP: with decision feedback

  12. V Conclusions • CIVA/Decoder: new blind equalizer, integrate convolutional decoding in the channel-independent Viterbi algorithm • Superior near MLSE performance • Robust to even ill-conditioned channels • Reduced complexity and hardware • Reference: • X. Li, “Blind sequence detection without channel estimation,” to appear in IEEE Trans. Signal Processing. A part appears in the 35th Asilomar Conf. Signals, Syst., Comput., Oct 2001.

More Related