Abstract
With the development of 5G technology, programs are gradually moving to cloud services. This leads to an increasing demand for storage. In the field of high-density data storage, bit-pattern media recording (BPMR) is considered a promising approach, as it can expand the data density to 4 Tb/in2. However, in high-density BPMR, bits or magnetic islands are very close to each other, leading to significant intertrack interference (ITI) from the cross-track direction and intersymbol interference (ISI) from the down-track direction. To minimize two-dimensional interference, including ITI and ISI, the serial detector method has been highly effective. However, in this method, the signal at the output of the first decoder is still a hard output. Therefore, we suggest methods to convert the output of the first detector into a soft output. Additionally, we have developed a new form of generalized partial response target to overcome the track mis-registration. The results show that our proposed methods apparently improve bit error rate performance.
Highlights
In the field of data storage, conventional magnetic recording systems have an area density limit of ~1 Tb/in2 because of the superparamagnetic effect [1]
The input data a[j,k] are taken into the bit-patterned media recording (BPMR) channel, in which the signals are interfered by intersymbol interference (ISI) and intertrack interference (ITI)
2c where x and z are the down- and cross-track directions, respectively; ∆x and ∆z are the down- and cross-track bit location fluctuations, respectively; c is 1/2.3548, which represents the relationship between the standard deviation of a Gaussian function and PW50, which is a parameter of the pulse width at half of the peak amplitude; and PWx and PWz are the PW50 components of the down- and cross-track pulses, respectively
Summary
In the field of data storage, conventional magnetic recording systems have an area density limit of ~1 Tb/in because of the superparamagnetic effect [1]. For increasing the storage capacity, the distance between magnetic islands must be closer, which produces intersymbol interference (ISI) and intertrack interference (ITI) from the down-track (horizontal) and cross-track (vertical) directions, respectively These types of interference are referred to as two-dimensional (2D) interference in BPMR systems. Sci. 2020, 10, 5738 to mitigate 2D interference, Kim [10] proposed a 2D soft-output Viterbi algorithm (2D SOVA), which is known as a parallel detection model, for holographic data storage, developed an iterative 2D. The second method is based on the Viterbi algorithm combined with channel interference to create a soft output. This method is highly effective, because it can reduce errors compared to a six-level signal and preserve the interference information of the signal.
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