Least squares based cell-to-cell interference cancelation technique for multi-level cell nand flash memory

Cell-to-cell interference becomes a major source of bit errors in NAND flash memories as the semiconductor technology continuously shrinks down. Recently, signal processing approaches to mitigate the interference have been proposed, and the least mean square (LMS) adaptive filtering based method [1] offers a promising solution. In this research, we propose a least squares based cell-to-cell interference cancelation method, which is more suitable for NAND flash memory devices where one page of data is accessed at a time. With a simulation model, we show that this approach outperforms the LMS filtering based one whether the interference is severe or not. In order to simplify the algorithm, the input data to compute the channel characteristics is decimated, and as a result the arithmetic intensity of the proposed algorithm is comparable to the LMS based one.