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Advanced Soft-Reliability Information-Based Post-Viterbi Processor Jun Lee and Kees A

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Advanced Soft-Reliability Information-Based Post-Viterbi Processor Jun Lee and Kees A Advanced Soft-Reliability Information-Based Post-Viterbi Processor Jun Lee and Kees A. Schouhamer Immink, Fellow, IEEE Abstract — This paper proposes a new soft-reliability complexity trade-off offered is very attractive and affordable. information-based post-Viterbi processor with advanced The above approach has been widely studied for magnetic noise-robustness for reducing probability of miss-correction recording channels, and for optical recording systems [1-10]. and no correction of a conventional soft-reliability-based In conventional soft-reliability information-based post- post-Viterbi processor. Among all likely error starting Viterbi processor in conjunction with an error detection code positions for prescribed error events, the two schemes are [2], when the syndrome is non-zero, the error detection code equal to attempt to correct error-type corresponding to a generates a set of all likely error starting positions for position with minimum one only if there exist positions where prescribed error events. Then, the scheme computes the soft- a soft-reliability estimate is negative. The main difference reliability values over the set of likely error starting positions, between the two schemes is how they acquire the soft- and it outputs an error starting position and its error- reliability estimate. The soft-reliability estimate of the new type associated with minimum one only if there exist likely scheme is obtained through the elimination of the noise- error starting positions that generate the negative soft- sensitive component from the log-likelihood ratio of the reliability estimate. Finally, based on the position and its posteriori probabilities, which is the soft-reliability estimate error-type, the scheme performs the error correction. Note that of conventional scheme. As a result, the new scheme is based on more reliable soft-reliability information so reducing the the scheme attempts to perform error correction only if probability of miss-correction and no correction. positions with negative soft-reliability estimate exist. A soft-reliability estimate for the conventional scheme is Index Terms — Error detection code, dominant error event, given as the log-likelihood ratio of the posteriori probabilities soft-reliability information-based post-Viterbi processor, cyclic [2], which includes a noise-sensitive component. The noise- redundancy check code. sensitive component is the main source of detrimental factors such as miss-correction and no correction. For the actual error I. INTRODUCTION starting position, we found that the scheme leads to no The demand for high-density digital data storage systems correction or miss-correction because the soft-reliability has been growing steadily. Although technological estimate of the position fails to give negative value due to a innovations in the design of recording media and heads are specific noise pattern. Note that the soft-reliability for the key to achieving high density recording systems, the role of actual error starting position usually gives a negative value, sophisticated coding and signal processing techniques for data but sometimes a positive value is yielded only if the noise recovery is increasingly becoming crucial in supporting and characteristic roughly matches to error signal samples of augmenting these advancements. actual error event. There has been a growing interest in error detection codes This paper introduces a new soft-reliability information- with error correction properties [1]-[10]. Unlike conventional based post-Viterbi processor with improved noise-robustness. read channels, where the error correction code (ECC) is In new and conventional schemes, the procedures for finding expected to correct all the errors at the output of the a set of likely error starting positions and performing soft- constrained decoder, dominant error events are corrected by reliability information-based error-correction over the set are applying a low redundancy error detection code. This error the same. The main difference between the two schemes is detection code is an inner ECC that can correct dominant error how they obtain the soft-reliability estimate. The new scheme events at the output of the channel detector by using only a obtains more reliable soft-reliability information by removing few parity bits. In this way, the correction capacity loss of the the noise-sensitive component from the log-likelihood ratio of outer ECC is significantly reduced and the error propagation a posteriori probabilities. The new scheme can give minimum of the modulation decoder is also minimized. The approach negative soft-reliability value at actual error starting position using error detection codes, referred to as post-Viterbi even when the channel noise is severe and consequently, the processor (in other words, maximum likelihood (ML) post- probability of miss-correction and no correction is processor), has found wide acceptance since the performance- significantly reduced. The performance has been evaluated for the magnetic recording channel. With only a few alterations, 1 Jun Lee is with Data and Storage R &D Laboratory, LG Electronics in the technique can be applied to optical storage systems. Korea (e-mail: [email protected]). Kees A. Schouhamer Immink is with the Institute for Experimental The paper is organized as follows. Section II introduces the Mathematics, Ellernstrasse 29-31, Essen, Germany (e-mail: immink@turing- new technique. In Section III, simulation results are given, machines.com). and finally, conclusions are given in Section IV. II. A NEW POST-VITERBI PROCESSOR lh 1 rhbnsnkikikkk , (1) This section firstly overviews conventional soft-reliability i0 information-based post-Viterbi processor. Secondly, a new soft-reliability information-based post-Viterbi processor will where bk is a k-th bipolar coded bit of b , hk is a k-th element be described. lh 1 of a channel target response h0 [hh01 ,...,l ] of length lh , A. Conventional soft–reliability information -based Post- h n is an AWGN sample, and s is a k-th signal sample Viterbi Processor k k generated by the convolution of the bipolar coded sequence b The performance of a partial response maximum likelihood lh 1 (PRML) system can be improved by employing a soft- and the channel target response h0 . By definition, the ML reliability information based post-Viterbi processor based on ˆ ˆˆ detector selects a bipolar coded sequence b [bb01 ,...,N ] that an error detection code that can correct a dominant error event minimizes the Euclidean metric at the output of the channel detector. In the soft-reliability information-based post-Viterbi processor based on error N 1 2 detection code [2], an error detection decoder computes a rskk ˆ , (2) syndrome to check for the presence of errors in the estimated k0 codeword, which is found at the output of the channel detector. When the syndrome is non-zero, the scheme is activated. where sˆk is a k-th signal sample yielded the convolution of the Based on the syndrome, the scheme generates a set of all output sequence of the ML detector bˆ and the channel target likely error starting positions for prescribed error events and response hlh 1 , i.e., then it attempts to find a position and its error-type with 0 minimum one only if there exist positions that yield negative l 1 soft-reliability estimate over the set. Note that the number of h ˆ sˆkiki hb . (3) position with negative soft-reliability value is mostly one, i0 but rarely it is more than one because of severe channel impairments. If positions that produce negative soft-reliability We try to design a decoding scheme that corrects one of estimate do not exist, the scheme does not make any prescribed error events occurred at the output of the ML correction. However, it is observed that the scheme makes no detector that dominates the other error events. Let us assume correction or miss-correction with high probability even when that one of the prescribed error events error occurs in the estimated codeword. As a result, the e()i ,{1,,}iE occurs in a codeword, where E is the number of bit errors increases which can be a significant detrimental factor to the detection performance. We have number of prescribed error events. Then, Li likely error observed that the problem happens when noise characteristic ()i starting positions pij ,{1,,}and1,, E j Li for approximately matches to error signal samples of actual error event. For solving the problem, we propose a new soft- e()i ,{1,,}iE from a syndrome computed by error reliability information with better noise-robustness. The soft- detection code are given, where L is the number of likely reliability information of the conventional scheme is given as i error starting positions for a prescribed i-th error event. If the the log-likelihood ratio of the posteriori probabilities, but that ()i ()i of the new scheme is obtained by adding a correction length of the error event e is l , and its error starting ()i ()i component that reduces the sensitivity of channel noise to log- position is pm among pjj ,1,,and1 Lii mL , likelihood ratio of the posteriori probabilities. Then, the new ()i information becomes more robust to noise compared to that of then the error event e is given by conventional scheme and consequently, the new scheme has a e()i ee()ii,,, () e () i smaller bit error rate performance than the conventional one. 01 l()i 1 ˆˆ ˆ (4) B. A New Soft-reliability Information-based Post-Viterbi bb()ii,,, () b () ii () bb () ii ,,, () b () ii () pp11 pl pp 11 pl Processor mm m mm m ()ii () () ii () plmm11ˆ pl bb()ii () We describe a sub-optimum post-Viterbi error correction ppmm scheme based on the new soft-reliability information. We assume that a bipolar codeword b [bb01 ,...,N ] of length N, and the error signal vector, which is the convolution of the generated by an error detection encoder, is transmitted over a ()i lh 1 error event e and the channel target response h0 , is partial response channel and corrupted by additive white expressed as Gaussian noise (AWGN).
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