Detection performance in the presence of transition noise

Moon, Jaekyun; Carley, L.R.

doi:10.1109/20.104658

Cited by 18 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While it is most surprising that simple peak detection yields a performance comparable to that of PR4ML (peak detection actually outperforms PR4ML with a slight margin, according to this worst case analysis based on detection SNR), we find that this observation is consistent with performance prediction made by Wood in [ 191 that in transition noise environments, peak detection on (1,7) code is highly competitive against PR4 equalization combined with Viterbi detection without any d-constraint. This is due to the relative robustness of peak detection against jitter, coupled with the extra transition spacing provided by the d=l constraint, which effectively reduces transition noise [8]. However, it can be observed that FDTSDF and DFE on (0,k) code does maintain a small SNR advantage over peak detection and FDTSDF on (1,k) code at Du=2.…”

Section: Numerical Examples and Discussionmentioning

confidence: 49%

See 1 more Smart Citation

Discrete-time modeling of transition noise dominant channels and study of detection performance

Moon

1991

IEEE Trans. Magn.

View full text Add to dashboard Cite

Discrete-time modeling of transition-noise-dominant channels is considered which facilitates performance analysis of various sampled-data detection schemes. Based on the proposed channel description method in the presence of transition noise, expressions for signal-to-total-noise-power ratios associated with a few selected detection schemes are derived. Under the assumption of a Lorentzian step response and perfect equalization, comparison is made among different detectors based on the signal-to-total-noise ratio figure-of-merit evaluated as a function of linear density.

show abstract

Section: Numerical Examples and Discussionmentioning

confidence: 49%

“…In this paper, we extend the analysis and results presented in an earlier paper [8] to study transition-noisedominant channels. We use a simple, modified discrete-time channel model for magnetic recording systems corrupted by both transition noise and additive noise.…”

Section: Introductionmentioning

confidence: 85%

Discrete-time modeling of transition noise dominant channels and study of detection performance

Moon

1991

IEEE Trans. Magn.

View full text Add to dashboard Cite

show abstract

“…4 as expected, predicting a density limit about 3.1 for a raw channel ontrack BER limit of 10 [before error correction (ECC)]. The "no jitter mod" BER curve eliminates the jitter modulation by setting the tails of the PR4 pulse to zero 3 3 Raised-cosine equalization is a tail-ISI reducing filter of this type, which regains some of the ISI jitter loss by reducing the sinc pulse slope at the tail zeros. This brings an additive electronic noise penalty due to its doubled bandwidth [9], which will further increase the electronic noise dominance at high D c in the experimental case here.…”

Section: Jitter Modulation In Pr Channelsmentioning

confidence: 95%

“…Jitter in partial response (PR) channels causes amplitude sample errors, degrading the metric detector and the amplitude difference timing signal. Wood [2], Moon [3], [4], and others have modeled bit error performance of various read channels in transition noise, including PD, PR, enhanced PR (EPR), decision feedback equalization (DFE), and finite delay tree search/decision feedback (FDTS/DF) channels, by superposition of jittered Lorentzian pulses at the channel clock sample interval Their predicted error rates degrade as channel density increases, in ways that are explained by the recording playback noise assumed, detector and code SNR gain, misequalization to the PR target, and equalizer noise boost.…”

mentioning

confidence: 97%

Bit errors due to channel modulation of media jitter

Hughes

1998

IEEE Trans. Magn.

View full text Add to dashboard Cite

Recording media written-in transition jitter noise can limit magnetic recording systems. Read channel intersymbol interference (ISI) modulates media jitter in a head/disk/channel, attenuating jitter at low linear density due to classical ISI but amplifying at high density [5]. This paper assesses whether jitter modulation is significant in typical disk drive peak detect (PD) and partial response (PR) channel design, where maximum linear bit density is sought at a specified bit error rate (BER). Experimental isolated pulse data, transition noise, and electronic noise measurements from a 65 mm head/disk recording design are used as inputs to a Matlab simulation of PD and PR Lorentzian channel low pass and boost filters, PD differentiator filter, PR digital filter, and PD/PR bit detectors. The goal of such models is optimizing the designable PD and PR channel parameters for realistic maximum linear density prediction. However their complexity obscures the jitter modulation contribution, which is demonstrated here by the shift in the BER versus density curves, when the jitter modulation is mathematically turned off.Jitter modulation is thereby shown to be significant but not dominant in (1,7) PD density limits. About an order of magnitude BER loss due to jitter modulation can occur at typical PD linear channel bit densities P 50 =T 2: Jitter amplification in PD channels can occur at channel density 3.8 (above usable PD limits). PR channels only amplify media jitter, degrading BER by about an order of magnitude at typical (0, k) PR4 densities, and degrading timing channel accuracy twice as fast as channel density increases. Lorentzian isolated pulse (ISOP) modeling is compared to recording physics mathematical pulses, and simulation statistical validity checks are made.

show abstract

“…A standard PR4 partial response channel with Viterbi detection was used. 5 The input to the model was an isolated pulse that was measured for a MR head with present day recording heads and media. This pulse was scaled to higher outputs and narrower pulse widths to simulate recording at the higher density.…”

Section: A Head Snrmentioning

confidence: 99%

Impact of new magnetoresistive materials on magnetic recording heads (invited)

Brug

Tran

Bhattacharyya

et al. 1996

Journal of Applied Physics

View full text Add to dashboard Cite

Advances in magnetoresistive materials have recently enabled magnetic recording heads to achieve higher levels of performance. This article describes why higher signal outputs are necessary for improvements to be made in areal density. The requirements for recording at an areal density of 16 Mb/mm 2 ͑10 Gb/in. 2 ͒ are discussed with regards to both the channel and the head design. Increased output from new multilayer magnetoresistive materials is required to counteract the decrease in output due to the reduction in the size of the head geometry. An areal density of 16 Mb/mm 2 is shown to be feasible with spin valve recording heads using materials with magnetoresistance ratios of 10%. Fabrication issues relating to the manufacturing of these materials are shown to be more stringent than previously required.

show abstract

Detection performance in the presence of transition noise

Cited by 18 publications

References 8 publications

Discrete-time modeling of transition noise dominant channels and study of detection performance

Discrete-time modeling of transition noise dominant channels and study of detection performance

Bit errors due to channel modulation of media jitter

Impact of new magnetoresistive materials on magnetic recording heads (invited)

Contact Info

Product

Resources

About