CLASSICAL AREAS OF PHENOMENOLOGY |
Prev
Next
|
|
|
A new tracking error detection method using amplitude difference detection for signal waveform modulation multi-level discs |
Yan Ming-Ming(严明铭)†, Pei Jing(裴京), and Pan Long-Fa(潘龙法) |
Optical Memory National Engineering Research Center, Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China |
|
|
Abstract The sub-land/sub-pit affects the characteristic of the tracking error signal which is generated by the conventional differential phase detection (DPD) method in the signal waveform modulation multi-level (SWML) read-only disc. To solve this problem, this paper proposes a new tracking error detection method using amplitude difference. Based on the diffraction theory, the amplitude difference is proportional to the tracking error and is feasible to be used for obtaining the off-track information. The experimental system of the amplitude difference detection method is developed. The experimental results show that the tracking error signal derived from the new method has better performance in uniformity and signal-to-noise ratio than that derived from the conventional DPD method in the SWML read-only disc.
|
Received: 20 January 2010
Revised: 08 April 2010
Accepted manuscript online:
|
PACS:
|
42.60.Fc
|
(Modulation, tuning, and mode locking)
|
|
42.79.Vb
|
(Optical storage systems, optical disks)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 60977005). |
Cite this article:
Yan Ming-Ming(严明铭), Pei Jing(裴京), and Pan Long-Fa(潘龙法) A new tracking error detection method using amplitude difference detection for signal waveform modulation multi-level discs 2010 Chin. Phys. B 19 104209
|
[1] |
Lo F H, Kuo J W, Tseng N H, Ju J J and Howe D 2004 Jpn. J. Appl. Phys. 43 4852
|
[2] |
Xiao J X, Qi G S, Hu H and Xu D Y 2005 Acta Phys. Sin. 54 102 (in Chinese)
|
[3] |
Hu H, Pan L F, Qi G S, Hu H and Xu D Y 2006 Acta Phys. Sin. 55 1759 (in Chinese)
|
[4] |
Song J, Xu D Y, Qi G S, Hu H, Zhang Q C and Xiong J P 2006 Chin. Phys. 15 1788
|
[5] |
Hu H, Xiong J P, Xu D Y, Qi G S, Xiao J X and Hu H 2007 Acta Phys. Sin. 56 208 (in Chinese)
|
[6] |
Tang Y, Pei J, Pan L F, Ni Y, Hu H and Zhang B Q 2008 Chin. Phys. Lett. 25 1709
|
[7] |
Tang Y, Pei J, Ni Y, Pan L F, Hu H and Zhang B Q 2008 Opt. Express 16 6156
|
[8] |
ECMA 2001 Standard ECMA-267 (3rd edn.) (Geneva: ECMA) pp. 43--46
|
[9] |
Shen Q H, Pei J, Xu H Z, Wang L and Xu D Y 2006 Jpn. J. Appl. Phys. 45 5764
|
[10] |
Milster T D 1998 Appl. Opt. 37 6878
|
[11] |
Braat J 1998 Appl. Opt. 37 6973
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|