In this scenario, examine how distribution and the geometry of patterned islands, i.e. length, period and size of island affect the read channel performance in bit error terms against SNR and thus identify the configuration of the best media to provide performance of the optimum read channel. In addition, characteristics of other media, for example thickness of film as well as an SUL presence, will be inspected.
To facilitate work, simulation of a readout has been improved which considers the patterned media three-dimensional (3-D) nature and predicts accurately the waveforms which are replayed as the media characteristics functions. In addition, the readout simulation of the 3-D predicts also the contribution of the signals arising because of inter-track-interference (ITI) in waveform which is readout.
To recognize the performance of the data recovery, “partial-response maximum-likelihood (PRML)”simulation of the read channel has been also developed. The gained simulation will be employed to assess the common partial-response goals range performance applicable for make use in storage medias which are considered as patterned media.
Read channel of patterned media as well as designs which are wrote has been previously analyzed by Hughes for media which is 100-Gb/in2 without and with an SUL. The work which is existed here focuses on the storage densities of 1-Tb/in2 as well as in many areas enhances understanding by using the replay process 3-D model as contrasted to Ruigrok and Potter two-dimensional (2-D) approaches, which more predicts accurately the probable distribution underneath read head of the giant-magnetoresistive (GMR) in an SUL presence.
By introducing ITI more realistic case in wave form which is replay; by examining how the island bit-aspect ratio (BAR), period, geometry, as well as distribution affects the performance of the read channel BER; by accurately modeling the lithography jitter effects consideration in the position of island both shifts and variation in the island size; by making use of simulation of the full channel, which models all the components of the read channel and creates the BER by measuring data at the read channel output in error, rather than using approaches which are considered as analytical procedures; and by examining a read channel of PRML incorporating polynomial of generalized-partial-response (GPR) which is optimized.