Generalized ldpc encoder, generalized ldpc encoding method and storage device
US-2024120945-A1 · Apr 11, 2024 · US
US10333554B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10333554-B2 |
| Application number | US-201715639475-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 30, 2017 |
| Priority date | Jun 30, 2017 |
| Publication date | Jun 25, 2019 |
| Grant date | Jun 25, 2019 |
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A method for generating a binary GTP codeword, comprised of N structure stages and each stage comprises at least one BCH codeword with error correction capability greater than a prior stage and smaller than a next stage, includes: receiving a syndrome vector s of a new stage 0 binary BCH codeword y over a field GF(2 m ) that comprises Δt syndromes of length m bits, wherein the syndrome vector s comprises l-th Reed-Solomon (RS) symbols of Δt RS codewords whose information symbols are delta syndromes of all BCH codewords from stage 0 until stage n−1; and multiplying s by a right submatrix Ũ of a matrix U, wherein U is an inverse of a parity matrix of an BCH code defined by t n , wherein the new binary BCH codeword is y =Ũ· s .
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What is claimed is: 1. A computer implemented method for generating a binary Generalized Tensor Product (GTP) codeword, comprised of N structure stages wherein N is an integer greater than 1 and each stage is comprised of at least one BCH codeword with error correction capability greater than a prior stage and smaller than a next stage, the method executed by the computer comprising the steps of: receiving new stage 0 binary BCH codeword y over a field GF(2 m ) from a communication channel; receiving a syndrome vector s of the new stage 0 binary BCH codeword y that comprises Δt syndromes of length m bits, wherein Δt=t n −t 0 , t 0 is the error correction capability of the stage 0 BCH codeword, t n is an error correction capability of a stage n BCH codeword to which a new binary BCH codeword y will be added, wherein the syndrome vector s comprises l-th Reed-Solomon (RS) symbols of Δt RS codewords whose information symbols are delta syndromes of all BCH codewords from stage 0 until stage n−1, wherein l indexes the BCH codeword to which y will be added; and multiplying s by a right submatrix Ũ of a matrix U, wherein U is an inverse of a parity matrix of an BCH code defined by t n , wherein the submatrix Ũ is of size mt 0 ×mΔt, wherein the new binary BCH codeword is y =Ũ· s . 2. The method of claim 1 , wherein multiplying s by right submatrix Ũ of matrix U comprises multiplying each component of the syndrome vector s by a component of submatrix Ũ by a binary logic function in a single hardware cycle to yield a component product, wherein submatrix Ũ is calculated before receiving syndrome vector s of new binary BCH codeword y , and multiplexing the component products into a single output that represents the new binary BCH codeword y . 3. The method of claim 2 , wherein the syndrome vector s is demultiplexed into separate Ũ matrices. 4. The method of claim 1 , wherein multiplying s by right submatrix Ũ of matrix U further comprises: multiplying each component of the syndrome vector s by a component of reduced submatrix Ũ′ by a binary logic function in a single hardware cycle to yield a component product, wherein reduced submatrix defined by Ũ′(x)=Ũ(x)/g 0 (x), wherein columns of submatrices Ũ′ and Ũ are represented as polynomials and each column of Ũ′(x) is the column of Ũ(x) divided by g 0 (x), are calculated before receiving syndrome vector s of new binary BCH codeword y ; multiplexing the component products into a temporary output; and convolving the temporary output with a common multiplier g 0 (x) to yield the single output that represents the new binary BCH codeword y , wherein g 0 (x) is a common multiplier of all columns of submatrix Ũ represented as polynomials and is calculated before receiving syndrome vector s of new binary BCH codeword y . 5. The method of claim 4 , wherein the syndrome vector s is demultiplexed into separate Ũ′ matrices. 6. The method of claim 4 , wherein convolving the temporary output with a common multiplier g 0 (x) is performed over multiple clock cycles. 7. The method of claim 1 , wherein multiplying s by a right submatrix Ũ of a matrix U further comprises: calculating a polynomial h j (x) by multiplying syndrome vector s by a matrix H j formed by concatenating the m polynomials h j,l as columns, wherein polynomials h j , l ( x ) = U _ mj + l ′ ( x ) / M j ( x ) and M j ( x ) = ∏ i = t 0 + 1 i ≠ j + t 0 + 1 t 1 m i ( x ) m i (x) wherein m i (x) is an i-th minimal polynomial of the BCH code C 1 with correction capability of t 1 and is calculated before receiving syndrome vector s of new binary BCH codeword y ; multiplying h j (x) by M j (x), and summing over j=0 to Δt−1; multiplexing the sums of the products h j (x)×M j (x) into a temporary output; and convolving the temporary output with a common multiplier g 0 (x) to yield the single output that represents the new binary BCH codeword y , wherein g 0 (x) is a common multiplier of all columns of submatrix Ũ represented as polynomials and is calculated before receiving syndrome vector s of new binary BCH codeword y . 8. The method of claim 7 , wherein the syndrome vector s is demultiplexed into separate sets of H j and M j . 9. The method of claim 7 , wherein convolving the temporary output with a common multiplier g 0 (x) is performed over multiple clock cycles. 10. A computer processor configured to execute a program of instructions to perform the method steps generating a binary Generalized Tensor Product (GTP) codeword, comprised of N structure st
Product codes · CPC title
Reed-Solomon codes · CPC title
Bose-Chaudhuri-Hocquenghem [BCH] codes · CPC title
Matrix operations, especially for generator matrices or check matrices, e.g. column or row permutations · CPC title
Polynomial operations, e.g. operations related to generator polynomials or parity-check polynomials · CPC title
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