Near-Optimal Detection for Both Data and Sneak-Path Interference in Resistive Memories With Random Cell Selector Failures

Resistive random-access memory is one of the most promising candidates for next generation non-volatile technology. However, its crossbar array structure causes severe “sneak-path” interference, which also leads to strong inter-cell correlation. Recent works have mainly focused on sub-optimal data detection schemes by ignoring correlation and assuming sneak-path interference independent between different cells. In this paper, we propose a near-optimal scheme that can approach performance bound optimal scheme. Our leverages joint recovery use all correlations. The proposed suitable large arrays with only linear operation complexity.