摘要:
Multi-CSI (Cyclic Shifted Identity) sub-matrix based LDPC (Low Density Parity Check) codes. A CSI parameter set, that includes at least one dual-valued entry and may also include at least one single-valued entry, and/or at least one all-zero-valued entry, is employed to generate an LDPC matrix. One of the single-valued entries may be 0 (being used to generate a CSI matrix with cyclic shift value of 0, corresponding to an identity sub-matrix such that all entries along the diagonal have elements values of 1, and all other elements therein are 0). Once the LDPC matrix is generated, it is employed to decode an LDPC coded signal to make an estimate of an information bit encoded therein. Also, the LDPC matrix may itself be used as an LDPC generator matrix (or the LDPC generator matrix may alternatively be generated by processing the LDPC matrix) for use in encoding an information bit.
摘要:
Fixed-spacing parity insertion for FEC (Forward Error Correction) codewords. Fixed spacing is employed to intersperse parity bits among information bits when generating a codeword. According to this fixed spacing, a same number of information bits is placed between each of the parity bits within the codeword. If desired, the order of the parity bits may be changed before they are placed into the codeword. Moreover, the order of the information bits may also be modified before they are placed into the codeword. The FEC encoding employed to generate the parity bits from the information bits can be any of a variety of codes include Reed-Solomon (RS) code, LDPC (Low Density Parity Check) code, turbo code, turbo trellis coded modulation (TTCM), or some other code providing FEC capabilities.
摘要:
Formulaic flexible collision-free memory accessing for parallel turbo decoding with quadratic polynomial permutation (QPP) interleave. A means is presented by which any desired number of parallel implemented turbo decoding processors can be employed to perform turbo decoding that has been performed using a QPP interleave. This approach is presented to allow an arbitrarily selected number (M) of decoding processors (e.g., a plurality of parallel implemented turbo decoders) to perform decoding of a turbo coded signal while still using a selected embodiment of a QPP interleave. In addition, a collision-free memory mapping, MOD,C,W) provides more freedom for selecting the particular quadratic polynomial permutation (QPP) interleave (π) that satisfies a parallel turbo decoding implementation with any desired number of parallel implemented turbo decoding processors. This memory mapping allows collision-free reading and writing of updated information (as updated using parallel implemented turbo decoder) into memory banks.
摘要:
Quadratic polynomial permutation (QPP) interleaver providing hardware saving and flexible granularity adaptable to any possible turbo code block size. A means is presented by which only a very small number of coefficients need be stored to effectuate a wide variety of QPP interleaves as can be employed in the context of turbo coding. In one instance, to accommodate the approximate 6000 different turbo code block sizes in 3GPP LTE channel coding, only 5 different coefficient values need to be stored to effectuate a very broad range of QPP interleaves to be applied each of those various turbo code block sizes. Moreover, a few small number of dummy bits, if any, need to be employed to accommodate a very broad range of turbo code block sizes. It is noted that the QPP interleaving as described herein can be applied to turbo encoding and turbo decoding (e.g., including both interleaving and de-interleaving).
摘要:
Turbo decoder employing ARP (almost regular permutation) interleave and arbitrary number of decoding processors. A novel approach is presented herein by which an arbitrarily selected number (M) of decoding processors (e.g., a plurality of parallel implemented turbo decoders) be employed to perform decoding of a turbo coded signal while still using a selected embodiment of an ARP (almost regular permutation) interleave. The desired number of decoding processors is selected, and very slight modification of an information block (thereby generating a virtual information block) is made to accommodate that virtual information block across all of the decoding processors during all decoding cycles except some dummy decoding cycles. In addition, contention-free memory mapping is provided between the decoding processors (e.g., a plurality of turbo decoders) and memory banks (e.g., a plurality of memories).
摘要:
Partial-parallel implementation of LDPC (Low Density Parity Check) decoder. A novel approach is presented by which a selected number of cycles is performed during each of bit node processing and check node processing when performing error correction decoding of an LDPC coded signal. The number of cycles of each of bit node processing and check node processing need not be the same. At least one functional block, component, portion of hardware, or calculation can be used during both of the bit node processing and check node processing thereby conserving space with an efficient use of processing resources. At a minimum, a semi-parallel approach can be performed where 2 cycles are performed during each of bit node processing and check node processing. Alternatively, more than 2 cycles can be performed for each of bit node processing and check node processing.
摘要:
Novel decoding approach is presented, by which, updated bit edge messages corresponding to a sub-matrix of an LDPC matrix are immediately employed for updating of the check edge messages corresponding to that sub-matrix without requiring storing the bit edge messages; also updated check edge messages corresponding to a sub-matrix of the LDPC matrix are immediately employed for updating of the bit edge messages corresponding to that sub-matrix without requiring storing the check edge messages. Using this approach, twice as many decoding iterations can be performed in a given time period when compared to a system that performs updating of all check edge messages for the entire LDPC matrix, then updating of all bit edge messages for the entire LDPC matrix, and so on. When performing this overlapping approach in conjunction with min-sum processing, significant memory savings can also be achieved.
摘要:
Efficient construction of LDPC (Low Density Parity Check) codes with corresponding parity check matrix having CSI (Cyclic Shifted Identity) sub-matrices. These constructed LDPC codes can be implemented in multiple-input-multiple-output (MIMO) communication systems. One LDPC code construction approach uses CSI sub-matrix shift values whose shift values are checked instead of non-zero element positions within the parity check matrix (or its corresponding sub-matrices). When designing an LDPC code, this approach is efficient to find and avoid cycles (or loops) in the LDPC code's corresponding bipartite graph. Another approach involves GRS (Generalized Reed-Solomon) code based LDPC code construction. These LDPC codes can be implemented in a wide variety of communication devices, including those implemented in wireless communication systems that comply with the recommendation practices and standards being developed by the IEEE 802.11n Task Group (i.e., the Task Group that is working to develop a standard for 802.11 TGn (High Throughput)).
摘要:
Virtual limited buffer modification for rate matching. A reduced-size memory module is employed within a communication device to assist in storage of log-likelihood ratios (LLRs) employed in accordance with turbo decoding. This architecture is also applicable to other types of error correction code (ECC) besides turbo code as well. The memory size is selected to match the number of coded bits (e.g., including information bits and redundancy/parity bits) that is included within a transmission. The received signals may be various transmissions made in accordance with hybrid automatic repeat request (HARQ) transmissions. When the LLRs calculated from a first HARQ transmission is insufficient to decode, those LLRs are selectively stored in the memory module. When LLRs corresponding to a second HARQ transmission is received, LLRs corresponding to both the first HARQ transmission and the second HARQ transmission are passed from the memory module for joint use in decoding.
摘要:
LDPC (Low Density Parity Check) coding and interleaving implemented in multiple-input-multiple-output (MIMO) communication systems. As described herein, a wide variety of irregular LDPC codes may be generated using GRS or RS codes. A variety of communication device types are also presented that may employ the error correcting coding (ECC) using a GRS-based irregular LDPC code, along with appropriately selected interleaving, to provide for communications using ECC. These communication devices may be implemented to in wireless communication systems including those that comply with the recommendation practices and standards being developed by the IEEE 802.11n Task Group (i.e., the Task Group that is working to develop a standard for 802.11 TGn (High Throughput)).