Wobble-address format of the Blu-ray Disc

Furumiya, Shigeru; Kobayashi, Shoei; Stek, B.; Ishibashi, Hiromichi; Yamagami, Tamotsu; Schep, Kees M.

doi:10.1109/omods.2002.1028636

“…We use here the Blu-ray optical pa- rameters, i.e., NA = 0.85, a laser wavelength λ = 405 nm, and a track pitch of 320 nm [14]. We consider two different disk capacities that are 23 GB and 30 GB on a single-layer 12-cm disk.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…If we first consider the case where α = 0, then we have T e = δ T e δ e and ∆ e = Pr(δ T e δ e < X e ) using (6), (9), and (10). It follows that, in order to make the minimization of (15) equivalent to that of the right-hand expression of (14), it is sufficient to take η (e) = η(e)T e to be proportional to H w (e), or, equivalently,…”

Section: ] T Andmentioning

confidence: 99%

Near-Minimum Bit-Error Rate Equalizer Adaptation for PRML Systems

Riani

¹

,

Beneden

²

,

Bergmans

³

et al. 2007

IEEE Trans. Commun.

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Abstract-Receivers for partial response maximum-likelihood systems typically use a linear equalizer followed by a Viterbi detector. The equalizer tries to confine the channel intersymbol interferenceto a short span in order to limit the implementation complexity of the Viterbi detector. Equalization is usually made adaptive in order to compensate for channel variations. Conventional adaptation techniques, e.g., LMS, are, in general, suboptimal in terms of bit-error rate (BER). In this paper, we present a new equalizer adaptation algorithm that seeks to minimize the BER at the Viterbi detector output. The algorithm extracts information from the sequenced amplitude margin (SAM) histogram and incorporates a selection mechanism that focuses adaptation on particular data and noise realizations. The selection mechanism is based on the reliability of the add compare select (ACS) operations in the Viterbi detector. From a complexity standpoint, the algorithm is essentially as simple as the conventional LMS algorithm. Moreover, we present a further simplified version of the algorithm that does not require any hardware multiplications. Simulation results, for an idealized optical storage channel, confirm a substantial performance improvement relative to existing adaptation algorithms.Index Terms-Adaptive equalizers, intersymbol interference, partial response signaling, sequenced amplitude margin (SAM), Viterbi detection.

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“…Data b k is taken to be run-length-limited [13] with run-length parameters (d, k) = (1, 7). The channel noise is AWG with a variance σ rameters, i.e., NA = 0.85, a laser wavelength λ = 405 nm, and a track pitch of 320 nm [14]. We consider two different disk capacities that are 23 GB and 30 GB on a single-layer 12-cm disk.…”

Section: Simulation Resultsmentioning

confidence: 99%

Near minimum bit-error rate equalizer adaptation for PRML systems

Riani

¹

,

Beneden

²

,

Bergmans

³

et al. 2005

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.

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Abstract-Receivers for partial response maximum-likelihood systems typically use a linear equalizer followed by a Viterbi detector. The equalizer tries to confine the channel intersymbol interferenceto a short span in order to limit the implementation complexity of the Viterbi detector. Equalization is usually made adaptive in order to compensate for channel variations. Conventional adaptation techniques, e.g., LMS, are, in general, suboptimal in terms of bit-error rate (BER). In this paper, we present a new equalizer adaptation algorithm that seeks to minimize the BER at the Viterbi detector output. The algorithm extracts information from the sequenced amplitude margin (SAM) histogram and incorporates a selection mechanism that focuses adaptation on particular data and noise realizations. The selection mechanism is based on the reliability of the add compare select (ACS) operations in the Viterbi detector. From a complexity standpoint, the algorithm is essentially as simple as the conventional LMS algorithm. Moreover, we present a further simplified version of the algorithm that does not require any hardware multiplications. Simulation results, for an idealized optical storage channel, confirm a substantial performance improvement relative to existing adaptation algorithms.Index Terms-Adaptive equalizers, intersymbol interference, partial response signaling, sequenced amplitude margin (SAM), Viterbi detection.

show abstract