Abstract: A reliability unit is disclosed for determining a reliability value for at least one bit decision. The disclosed reliability unit comprises one or more functional elements, wherein each of the functional elements comprises at least four functional units and at least two registers, wherein each functional unit comprises a comparator and a multiplexer, and wherein an output of the comparator and an equivalence bit control the multiplexer. Generally, the reliability unit determines a reliability value for a bit decision associated with a maximum-likelihood path through a multiple-step trellis.

Abstract: A path metric difference computation unit is disclosed for computing path differences through a multiple-step trellis. The disclosed path metric difference computation unit computes differences between paths through a multiple-step trellis, wherein a first of the plurality of paths is a winning path for each single-step-trellis period of a multiple-step-trellis cycle, a second of the plurality of paths is a winning path for a first single-step-trellis period and is a losing path for a second single-step-trellis period of a multiple-step-trellis cycle and a third of the plurality of paths is a losing path for a first single-step-trellis period and is a winning path for a second single-step-trellis period of a multiple-step-trellis cycle.

Abstract: Methods and apparatus are provided for performing SOVA detection at higher data rates than achievable with conventional designs. A received signal is processed by (i) determining at least three selection signals that define a plurality of paths through a multiple-step trellis into a given state, wherein a first of the plurality of paths is a winning path for each single-step-trellis period of a multiple-step-trellis cycle, a second path is a winning path for a first single-step-trellis period and is a losing path for a second single-step-trellis period of a multiple-step-trellis cycle and a third path is a losing path for a first single-step-trellis period and is a winning path for a second single-step-trellis period of a multiple-step-trellis cycle; and (ii) determining at least one reliability value (such as a reliability value for a bit decision associated with a maximum-likelihood path through the multiple-step trellis or a plurality of reliability values for each multiple-step-trellis cycle).

Abstract: Methods and apparatus are provided for improved iterative error-erasure decoding. A signal is decoded by obtaining a plurality of symbols associated with the signal and one or more corresponding reliability values; generating at least one erasure list comprised of L symbols and at least one shortened erasure list comprised of L? symbols, where L? is less than L; and constructing an erasure set by taking erasures from at least one of the erasure list and the shortened erasure list. A signal is also processed by generating one or more reliability values using a soft-output detector; generating an erasure list of symbols by comparing the reliability values to at least one reliability threshold value (or by sorting); and performing error erasure decoding using the erasure list. The size of the erasure list can optionally be adjusted using feedback information.

Abstract: Methods and apparatus are provided for improved iterative error-erasure decoding. A signal is decoded by obtaining a plurality of symbols associated with the signal and one or more corresponding reliability values; generating at least one erasure list comprised of L symbols and at least one shortened erasure list comprised of L? symbols, where L? is less than L; and constructing an erasure set by taking erasures from at least one of the erasure list and the shortened erasure list. A signal is also processed by generating one or more reliability values using a soft-output detector; generating an erasure list of symbols by comparing the reliability values to at least one reliability threshold value (or by sorting); and performing error erasure decoding using the erasure list. The size of the erasure list can optionally be adjusted using feedback information.

Abstract: Methods and apparatus are provided for performing Soft-Output Viterbi Algorithm (SOVA) detection at higher data rates than achievable with conventional designs.

Abstract: Methods and apparatus are provided for improved iterative error-erasure decoding. A signal is decoded by obtaining a plurality of symbols associated with the signal and one or more corresponding reliability values; generating at least one erasure list comprised of L symbols and at least one shortened erasure list comprised of L? symbols, where L? is less than L; and constructing an erasure set by taking erasures from at least one of the erasure list and the shortened erasure list. A signal is also processed by generating one or more reliability values using a soft-output detector; generating an erasure list of symbols by comparing the reliability values to at least one reliability threshold value (or by sorting); and performing error erasure decoding using the erasure list. The size of the erasure list can optionally be adjusted using feedback information.

Abstract: A method and apparatus are disclosed for joint equalization and decoding of multilevel codes, such as the MLT-3 code, which are transmitted over dispersive channels. The MLT-3 code is treated as a code generated by a finite-state machine using a trellis having state dependencies between the various states. A super trellis concatenates the MLT-3 trellis with a trellis representation of the channel. Joint equalization and decoding of the received signal can be performed using the super trellis. A sequence detector is disclosed that uses the super trellis or a corresponding reduced-state trellis to perform joint equalization and decoding of the received signal to decode the MLT-3 coded data bits. The sequence detector may be embodied using maximum likelihood sequence estimation that applies the optimum Viterbi algorithm or a reduced complexity sequence estimation method, such as the reduced-state sequence estimation (RSSE) algorithm.

Abstract: A method and apparatus are disclosed for joint equalization and decoding of multilevel codes, such as the MLT-3 code, which are transmitted over dispersive channels. The MLT-3 code is treated as a code generated by a finite-state machine using a trellis having state dependencies between the various states. A super trellis concatenates the MLT-3 trellis with a trellis representation of the channel. Joint equalization and decoding of the received signal can be performed using the super trellis. A sequence detector is disclosed that uses the super trellis or a corresponding reduced-state trellis to perform joint equalization and decoding of the received signal to decode the MLT-3 coded data bits. The sequence detector may be embodied using maximum likelihood sequence estimation that applies the optimum Viterbi algorithm or a reduced complexity sequence estimation method, such as the reduced-state sequence estimation (RSSE) algorithm.

Abstract: A method and apparatus are disclosed for improving the processing time of reduced complexity sequence estimation techniques, such as reduced state sequence estimation (RSSE). The possible values for the branch metrics in the RSSE are precomputed to permit pipelining and the shortening of the critical path. The computational load of the precomputations is reduced for multi-dimensional trellis codes by precomputing each dimension of the multi-dimensional trellis code separately. Prefiltering techniques are used to reduce the computational complexity by shortening the channel memory. A hybrid survivor memory architecture is disclosed for RSSE for a channel having a channel memory of length L, where the survivors corresponding to the L past decoding cycles are stored in a register exchange architecture, and survivors corresponding to later decoding cycles are stored in a trace-back architecture (TBA) or register exchange architecture (REA).

Abstract: A reduced-state Viterbi detector is disclosed that precomputes branch metrics for a multiple-step trellis for speculative sequences of one or more channel symbols; selects one of said precomputed branch metrics for multi-step state transitions based on at least one multi-step decision from at least one corresponding state; and selects a path having a best path metric for a given state.

Abstract: A method and apparatus for the implementation of reduced state sequence estimation is disclosed, with an increased throughput using precomputation (look-ahead), with only a linear increase in hardware complexity with respect to the look-ahead depth. The present invention limits the increase in hardware complexity by taking advantage of past decisions (or survivor symbols). The critical path of a conventional RSSE implementation is broken up into at least two smaller critical paths using pipeline registers. Various reduced state sequence estimation implementations are disclosed that employ one-step or multiple-step look-ahead techniques to process a signal received from a dispersive channel having a channel memory.

Abstract: A method and apparatus are disclosed for improving the maximum data rate of reduced-state Viterbi detectors with local feedback. The maximum data rate that may be achieved by the disclosed reduced state Viterbi detectors is improved by precomputing a number of candidate branch metrics and performing pipelined selection of an appropriate branch metric. A reduced state Viterbi detector is thus disclosed that precomputes branch metrics for speculative sequences of one or more channel symbols; selects one of said precomputed branch metrics based on at least one decision from at least one corresponding state using at least two pipeline registers; and selects a path having a best path metric for a given state.

Abstract: A method and apparatus are disclosed for improving the maximum data rate of reduced-state Viterbi detectors with local feedback. The maximum data rate that may be achieved by the disclosed reduced-state Viterbi detectors is improved by precomputing a number of candidate branch metrics and performing pipelined selection of an appropriate branch metric. A reduced-state Viterbi detector is thus disclosed that precomputes branch metrics for speculative sequences of one or more channel symbols; selects one of said precomputed branch metrics based on at least one decision from at least one corresponding state using at least two pipeline registers; and selects a path having a best path metric for a given state.

Abstract: A method and apparatus for the implementation of reduced state sequence estimation is disclosed with an increased throughput using precomputation (look-ahead), with only a linear increase in hardware complexity with respect to the look-ahead depth. The present invention limits the increase in hardware complexity by taking advantage of past decisions (or survivor symbols). The critical path of a conventional RSSE implementation is broken up into at least two smaller critical paths using pipeline registers. Various reduced state sequence estimation implementations are disclosed that employ one-step or multiple-step look-ahead techniques to process a signal received from a dispersive channel having a channel memory.

Abstract: A method and apparatus are disclosed for improving the processing time of reduced complexity sequence estimation techniques, such as reduced state sequence estimation. Precomputing the branch metrics for all possible symbol combinations in the channel memory makes it possible to remove the branch metrics unit and decision-feedback unit from the feedback loop, thereby reducing the critical path. A set of multiplexers select the appropriate branch metrics based on the survivor symbols in the corresponding survivor path cells. The computational load of the precomputations is reduced for multi-dimensional trellis codes by precomputing each dimension of the multi-dimensional trellis code separately.

Abstract: A method and apparatus for the implementation of reduced state sequence estimation is disclosed that uses precomputation (look-ahead) to increase throughput, with only a linear increase in hardware complexity with respect to the look-ahead depth. The present invention limits the increase in hardware complexity by taking advantage of past decisions (or survivor symbols). The critical path of a conventional RSSE implementation is broken up into at least two smaller critical paths using pipeline registers. Various reduced state sequence estimation implementations are disclosed that employ one-step or multiple-step look-ahead techniques to process a signal received from a dispersive channel having a channel memory.

Abstract: A method and apparatus are disclosed for reducing the computational complexity of the RSSE technique. The apparatus and associated method does not assume that the signal energy of a pulse that has gone through a channel is always concentrated primarily in the initial taps, as is true for a minimum phase channel. The present invention, however, recognizes that the signal energy is often concentrated in just a few channel coefficients, with the remaining channel coefficients being close to zero. A receiver apparatus and associated method is disclosed for reducing the number of channel coefficients to be processed with a high complexity cancellation algorithm from L to V+K which contain the majority of the signal energy, while processing the L−(K+V) non-selected coefficients with a lower complexity algorithm. By only processing the intersymbol interference caused by a reduced number of channel coefficients (i.e.

Abstract: A method and apparatus are disclosed for reducing the complexity of reduced state sequence estimation (RSSE) techniques for a given number of states while also reducing the critical path problem. The intersymbol interference due to the less significant tail taps of the channel impulse response is processed with a lower complexity cancellation algorithm using tentative decisions, while the intersymbol interference due to the more significant initial taps is processed with a more complex cancellation algorithm, such as a reduced state sequence estimation technique or an M-algorithm technique. A receiver is disclosed that includes a circuit for processing intersymbol interference due to the less significant tail taps using tentative decisions and an RSSE circuit for processing the intersymbol interference due to the more significant taps.

Abstract: A method and apparatus are disclosed for joint equalization and decoding of multilevel codes, such as the MLT-3 code, which are transmitted over dispersive channels. The MLT-3 code is treated as a code generated by a finite-state machine using a trellis having state dependencies between the various states. A super trellis concatenates the MLT-3 trellis with a trellis representation of the channel. Joint equalization and decoding of the received signal can be performed using the super trellis. A sequence detector is disclosed that uses the super trellis or a corresponding reduced-state trellis to perform joint equalization and decoding of the received signal to decode the MLT-3 coded data bits. The sequence detector may be embodied using maximum likelihood sequence estimation that applies the optimum Viterbi algorithm or a reduced complexity sequence estimation method, such as the reduced-state sequence estimation (RSSE) algorithm.