Soft reed-solomon decoder for a non-volatile memory

    公开(公告)号:US11942965B1

    公开(公告)日:2024-03-26

    申请号:US18045576

    申请日:2022-10-11

    CPC classification number: H03M13/1575 H03M13/1111 H03M13/1545

    Abstract: A soft-decision decoding computes a first syndrome polynomial in accordance with a received word, computes a second syndrome polynomial by multiplying the first syndrome polynomial by a locator polynomial based on locations of erasures within the received word, finds a basis and private solution to an affine space of polynomials that solve key equations based on the second syndrome polynomial, determines a weak set of a locations of symbols in the received word with confidence below a certain confidence level, computes a matrix from the basis, the private solution and the weak set, determines sub-matrices in the matrix whose rank is equal to a rank of the matrix, determines error locator polynomial (ELP) candidates from the sub-matrices, the basis, and the private solution, and corrects the received word using a selected one of the ELP candidates.

    BCH fast soft decoding beyond the (d-1)/2 bound

    公开(公告)号:US11689221B1

    公开(公告)日:2023-06-27

    申请号:US17647441

    申请日:2022-01-07

    CPC classification number: H03M13/152 H03M13/1575 H03M13/458

    Abstract: A method for Bose-Chaudhuri-Hocquenghem (BCH) soft error decoding includes receiving a codeword x, wherein the received codeword x has τ=t+r errors for some r≥1; computing a minimal monotone basis {λi(x)}1≤i≤r+1⊆F[x] of an affine space V={λ(x)ϵF[x]: λ(x)·S(x)=λ′(x) (mod x2t), λ(0)=1, deg(λ(x)≤t+r}, wherein λ(x) is an error locator polynomial and S(x) is a syndrome; computing a matrix A≡(λjβi))iϵ[W],jϵ[r+1], wherein W={βi, . . . , βW} is a set of weak bits in x; constructing a submatrix of r+1 rows from sub matrices of r+1 rows of the subsets of A such that the last column is a linear combination of the other columns; forming a candidate error locating polynomial using coefficients of the minimal monotone basis that result from the constructed submatrix; performing a fast Chien search to verify the candidate error locating polynomial; and flipping channel hard decision at error locations found in the candidate error locating polynomial.

    LOW-POWER ERROR CORRECTION CODE COMPUTATION IN GF (2R)

    公开(公告)号:US20220021401A1

    公开(公告)日:2022-01-20

    申请号:US16929983

    申请日:2020-07-15

    Abstract: A method of performing division operations in an error correction code includes the steps of receiving an output ω∈F†{0} wherein F=GF(2r) is a Galois field of 2r elements, ω=Σ0≤i≤r−1βi×αi wherein α is a fixed primitive element of F, and βi∈GF(2), wherein K=GF(2s) is a subfield of F, and {1, α} is a basis of F in a linear subspace of K; choosing a primitive element δ∈K, wherein ω=ω1+α×ω2, ω1=Σ0≤i≤s−1γi×δi∈K, ω2=Σ0≤i≤s−1γi+s×δi∈K, and γ=[γ0, . . . , γr−1]T∈GF(2)r; accessing a first table with ω1 to obtain ω3=ω1−1, computing ω2×ω3 in field K, accessing a second table with ω2=ω3 to obtain (1+α×ω2×ω3)−1=ω4+α×ω5, wherein ω−1=(ω1×(1+α×ω2×ω3))−1=ω3×(ω4+α×ω5)=ω3×ω4+α×ω3×ω5; and computing products ω3×ω4 and ω3×ω5 to obtain ω−1=Σ0≤i≤s−1θi×δi+α·Σi≤i≤s−1θi+s=δi where θi∈GF(2).

    Bose-chaudhuri-hocquenchem (BCH) encoding and decoding tailored for redundant array of inexpensive disks (RAID)

    公开(公告)号:US10387254B2

    公开(公告)日:2019-08-20

    申请号:US15730943

    申请日:2017-10-12

    Abstract: A method of encoding generalized concatenated error-correcting codes includes providing a parity matrix {tilde over (H)}j of a j-th layer code and predefined syndrome {tilde over (s)} of length n−{tilde over (k)}j, where the first n-kl coordinates are zero, n is a length of a codeword c of a first layer BCH code Cl of dimension {tilde over (k)}j, codeword c satisfies {tilde over (H)}jc={tilde over (s)}, a first layer code includes only a BCH code, and each subsequent layer includes a Reed-Solomon (RS) stage followed by a BCH code; finding a square matrix R, of dimension (n−{tilde over (k)}j)(n−{tilde over (k)}j) such that Rj{tilde over (H)}j=(A|I), where A is an arbitrary matrix, Rj=(Qj|Tj), where Q has n−kl columns Tj and has k1−{tilde over (k)}j columns; finding a vector c−(a b) where a is a vector of length {tilde over (k)}j and b is a vector of length n−{tilde over (k)}j; and solving ( A | I ) ⁢ ( a b ) = ( Q j | T j ) ⁢ s ~ = T j ⁢ s ⁢ ⁢ where ⁢ ⁢ a = 0 ⁢ ⁢ and ⁢ ⁢ b = T j ⁢ s , where a=0 and b=Tjs, and codeword c is nonzero only on the last n−{tilde over (k)}j=n−kj bits.

    Low gate-count encoding algorithm and hardware of flexible rate GLDPC ECC

    公开(公告)号:US11711099B1

    公开(公告)日:2023-07-25

    申请号:US17702048

    申请日:2022-03-23

    CPC classification number: H03M13/1174 H03M13/6513

    Abstract: Systems, devices, and methods for encoding information bits for storage, including encoding information bits and balance bits to obtain a first bit chunk of a first arrangement; permuting the first bit chunk to obtain a second bit chunk of a second arrangement; encoding the second bit chunk to obtain a third bit chunk of the second arrangement; permuting a first portion of the third bit chunk to obtain a fourth bit chunk of the first arrangement, and encoding the fourth bit chunk to obtain a fifth bit chunk of the first arrangement; permuting a second portion of the third bit chunk, and adjusting the balance bits based on the fifth bit chunk and the permutated second portion of the third bit chunk; adjusting the first arrangement based on the adjusted balance bits, and obtaining a codeword based on the adjusted first arrangement; and transmitting the codeword to a storage device.

    BCH FAST SOFT DECODING BEYOND THE (D-1)/2 BOUND

    公开(公告)号:US20230223958A1

    公开(公告)日:2023-07-13

    申请号:US17647441

    申请日:2022-01-07

    CPC classification number: H03M13/152 H03M13/1575 H03M13/458

    Abstract: A method for Bose-Chaudhuri-Hocquenghem (BCH) soft error decoding includes receiving a codeword x, wherein the received codeword x has τ=t+r errors for some r≥1; computing a minimal monotone basis {λi(x)}1≤i≤r+1⊆F[x] of an affine space V={λ(x)∈F[x]:λ(x)·S(x)=λ′(x) (mod x2t), λ(0)=1, deg(λ(x)≤t+r}, wherein λ(x) is an error locator polynomial and S(x) is a syndrome; computing a matrix A≡(λj(βi))i∈[w],j∈[r+1], wherein W={β1, . . . , βw} is a set of weak bits in x; constructing a submatrix of r+1 rows from sub matrices of r+1 rows of the subsets of A such that the last column is a linear combination of the other columns; forming a candidate error locating polynomial using coefficients of the minimal monotone basis that result from the constructed submatrix; performing a fast Chien search to verify the candidate error locating polynomial; and flipping channel hard decision at error locations found in the candidate error locating polynomial.

    One-sub-symbol linear repair schemes

    公开(公告)号:US10686471B2

    公开(公告)日:2020-06-16

    申请号:US15821480

    申请日:2017-11-22

    Abstract: A method for repairing a single erasure in a Reed Solomon code in a system of a plurality of n storage nodes and a controller, wherein a content of each storage node is a codeword and each node stores a vector v. The method includes identifying a failed storage node; transmitting an index of the failed storage node to each surviving storage node; multiplying the content of each node i by a j-th component of a vector that is a permutation of elements of vector v that correspond to the surviving storage nodes; determining a trace map of the result and converting the result from an m×r bit representation into a reduced representation of r bits; reconstructing the content of the failed storage node from the reduced representation of each surviving node's content; and outputting the reconstructed content of the failed storage node.

    Groebner-bases approach to fast chase decoding of generalized Reed-Solomon codes

    公开(公告)号:US10404407B2

    公开(公告)日:2019-09-03

    申请号:US15683456

    申请日:2017-08-22

    Abstract: An application specific integrated circuit (ASIC) tangibly encodes a program of instructions executable by the integrated circuit to perform a method for fast Chase decoding of generalized Reed-Solomon (GRS) codes. The method includes using outputs of a syndrome-based hard-decision (HD) algorithm to find an initial Groebner basis G for a solution module of a key equation, upon failure of HD decoding of a GRS codeword received by the ASIC from a communication channel; traversing a tree of error patterns on a plurality of unreliable coordinates to adjoin a next weak coordinate, where vertices of the tree of error patterns correspond to error patterns, and edges connect a parent error pattern to a child error pattern having exactly one additional non-zero value, to find a Groebner basis for each adjoining error location; and outputting an estimated transmitted codeword when a correct error vector has been found.

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