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15th Annual magnetic Recording Conference (TmRC 2004)

作者： Lee, J Lee, J Dongguk Univ Dept Elect Engn Seoul 100715 South Korea

We propose a simplified noise-predictive partial response maximum likelihood (NPmL) system in conjunction with m-algorithm for dual-layered perpendicular magnetic recording channels. The complexity, which is increased by the construction of noise prediction filter, can be reduced through the m-algorithm. Despite the complexity of the proposed scheme (m = 4) is decreased to 1/4 than one of the full NP(12321)mL system, two Systems maintain almost the same bit-error rate and the detection performance of the noise-predictive maximum likelihood is better than that of the conventional PRmL.

关键词： hard disk drive m-algorithm noise-predictive partial response maximum likelihood (NPmL) detection perpendicular magnetic recording

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Improved Soft-Output m-algorithm for Differential Encoded LDPC Coded Systems with multiple-Symbol Differential Detection

Improved Soft-Output M-Algorithm for Differential Encoded LD...

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IEEE International Symposium on Personal, Indoor and mobile Radio Communications

作者： Yang Yu Shiro Handa Fumihito Sasamori Osamu Takyu Faculty of Engineering Shinshu University Nagano Japan

ISBN: (纸本)9781467325660

In this paper, we propose an improved soft-output m-algorithm (ISOmA) and use it to reduce the computational complexity of differential encoded LDPC (DE-LDPC) coded systems with multiple-symbol differential detection (mSDD). The proposed ISOmA combines the features of iterative tree search detection based on m-algorithm (ITS-mA) and soft-output m-algorithm (SOmA) approaches, which can guarantee that the log-likelihood ratio (LLR) of each coded bit can be computed with high reliability. Simulation results show that the computational complexity of the mSDD soft-input soft-output demodulator (SISOD) as well as the iterative decoding complexity of DE-LDPC coded systems with mSDD can be greatly reduced by the proposed ISOmA. Compared with the existing ITS-mA and SOmA, the proposed ISOmA has better performance in terms of the BER performance and the ability of reducing the decoding complexity of DE-LDPC systems with mSDD. In addition, it is shown that the approach of the ISOmA using a proper selected scaling factor (SF) in the computation of the extrinsic LLRs can be used to further improve the performance of the ISOmA.

关键词： Improved Soft-Output m-algorithm Differential Encoded

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LOW-COmPLEXITY AND HIGH-PERFORmANCE SOFT mImO DETECTION BASED ON DISTRIBUTED m-algorithm THROUGH TRELLIS-DIAGRAm

LOW-COMPLEXITY AND HIGH-PERFORMANCE SOFT MIMO DETECTION BASE...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Yang Sun Joseph R. Cavallaro Department of Electrical and Computer Engineering Rice University Houston TX 77005

ISBN: (纸本)9781424442959

This paper presents a novel low-complexity multiple-input multiple-output (mImO) detection scheme using a distributed m-algorithm (Dm) to achieve high performance soft mImO detection. To reduce the searching complexity, we build a mImO trellis graph and split the searching operations among different nodes, where each node will apply the m-algorithm. Instead of keeping a global candidate list as the traditional detector does, this algorithm keeps multiple small candidate lists to generate soft information. Since the Dm algorithm can achieve good BER performance with a small m, the sorting cost of the Dm algorithm is lower than that of the conventional K-best mImO algorithm. The proposed algorithm is very suitable for high speed parallel processing.

关键词： mImO m-algorithm Soft Detection m-algorithm multiple input multiple output systems bit error rate performance HIGH-PERFORmANCE

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Signal position-based adaptive QR decomposition-based m detection algorithm for multiple-input multiple-output systems

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IET SIGNAL PROCESSING 2011年第6期5卷 598-602页

作者： Yoo, H. Jeong, J. Lee, J. Korea Univ Dept Comp & Radio Commun Engn Seoul 136701 South Korea

The QR decomposition-based m (QRD-m) algorithm is a suboptimal detection algorithm that achieves near-maximum-likelihood detection (mLD) performance with low complexity. Some conventional QRD-m algorithms that directly determine the number of surviving paths have simple structures and are consequently cost effective and easy to implement. However, it is possible that surviving paths are chosen that have unnecessarily low reliability. The authors propose an algorithm, termed signal position-based QRD-m, to solve this problem using position estimation of the received signal. The position estimation process is accomplished using the most reliable candidate symbol to minimise additional processing. Computer simulations demonstrated that the proposed algorithm can achieve near-mLD performance with lower complexity than the fixed QRD-m algorithm.

关键词： signal group quick release output system multiple input multiple output systems simple structures algorithms position estimation signals m-algorithm Detection algorithms mOmENT mAGNITUDE

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Trace back techniques adapted to the surviving memory management in the m algorithm. 25

Trace back techniques adapted to the surviving memory manage...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Boutillon, E González, L Ecole Natl Super Telecommun F-75634 Paris 13 France

ISBN: (纸本)0780362934

A new architecture for survivor memory management in the m algorithm is presented. So far, classical implementations of the survivor memory management employ the register exchange procedure. The architecture presented here is based on the trace back procedure used in the Viterbi algorithm. Using a new pointer which indicates the number of the surviving path even by the sorting operation during the path metric updating operation, all the trace back techniques that have been proposed for the Viterbi algorithm can be employed for the nf algorithm. This architecture is specially attractive for large values of m and L in wich case the register ex-change approach is impractical due to power consumption and to the area required for wiring. In addition. a combination of the register exchange and the trace back procedures is also presented. The combination of these algorithms reduces both the information to be stored and the processing time.

关键词： m-algorithm Store management Viterbi algorithm sort operation Registers

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Land surface temperature estimation from the next generation of Geostationary Operational Environmental Satellites: GOES m-Q

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JOURNAL OF APPLIED mETEOROLOGY 2004年第2期43卷 363-372页

作者： Sun, DL Pinker, RT Basara, JB Univ Maryland Dept Meteorol College Pk MD 20742 USA George Mason Univ CEOSR Fairfax VA 22030 USA Univ Oklahoma Oklahoma Clin Survey Norman OK 73019 USA

The next generation of Geostationary Operational Environmental Satellites (GOES m-Q) will have only one thermal window channel instead of the current two split-window thermal channels. There is a need to evaluate the usefulness of this new configuration to retrieve parameters that presently are derived by utilizing the split-window characteristics. Two algorithms for deriving land surface temperatures (LSTs) from the GOES m-Q series have been developed and will be presented here. Both algorithms are based on radiative transfer theory;one uses ancillary total precipitable water (TPW) data, and the other is a two-channel (3.9 and 11.0 mum) algorithm that aims to improve atmospheric correction by utilizing the middle infrared (mIR) channel. The proposed algorithms are compared with a well-known generalized split-window algorithm. It is found that by adding TPW to the 11.0-mum channel, similar results to those from the generalized split-window algorithm are attained, and the combination of 3.9 and 11.0 mum yields further improvement. GOES m-Q retrievals (simulated with GOES-8 observations), when evaluated against skin temperature observations from the Oklahoma mesonet, show that with the proposed two-channel algorithm, LST can be determined at an rms accuracy of about 2 K. The proposed algorithms are also applicable for the derivation of sea surface temperatures (SSTs) for which less restrictive assumptions on surface emissivity apply.

关键词： derivation algorithms land surface temperature 2-channel satellites atmospheric correction m-algorithm Water triple point surface radiation

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Complexity reduction using QRD-m or SD in mImO Interleaved SC-FDmA receiver with iterative detection

Complexity reduction using QRD-M or SD in MIMO Interleaved S...

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International Symposium on Information Theory and its Applications (ISITA)

作者： moriyama, masaaki Iwanami, Yasunori Nagoya Inst Technol Grad Sch Dept Comp Sci & Engn Nagoya Aichi Japan

ISBN: (纸本)9784885522673

The maximum likelihood detection (mLD) is known as the optimum separation method of spatially multiplexed signals in mImO (multiple Input multiple Output) communication schemes. However, when the number of transmit antenna and the level of modulation are increased, the complexity of mLD becomes quite large and the reduction of complexity is the important issue. For reducing the complexity of mLD, QRD-m (QR Decomposition with m-algorithm) was proposed, but it is a quasi-mL method and could not obtain the mL solution although the complexity is largely reduced. On the other hand, Sphere Decoding (SD) can obtain the mL solution like mLD with reduced complexity. In this paper, we propose the receiver structure for mImO Interleaved SC-FDmA (mImO Interleaved Single Carrier-Frequency Division multiple Access) where the FDE (Frequency Domain Equalization) is firstly done for obtaining the tentative decision results and secondly using the tentative results the ISI (Inter-Symbol Interference) is cancelled by ISI canceller and then the mLD is made for separating the spatially multiplexed signals. Furthermore the output from mLD is fed back to ISI canceller and this feedback is iteratively for improving the BER. In order to reduce the complexity of the proposed receiver, we replace the mLD by QRD-m or SD. By examining the BER characteristics and the complexity reduction through computer simulations, we have verified the effectiveness of proposed receiver in which mLD is replaced by SD.

关键词： metachromatic Leukodystrophy minimum lethal dose multiple input multiple output systems Complexity Receivers m-algorithm transmitting antennas

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Low Complexity maximum-Likelihood Based QRD-m for mImO Systems with S-QAm or APSK

Low Complexity Maximum-Likelihood Based QRD-M for MIMO Syste...

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2010 IEEE International Conference on Communications

作者： Dai, Xiaoming Datang Mobile Communications Equipment Com. Ltd. China

ISBN: (纸本)9781424464043

QR decomposition combined with m-algorithm (QRD-m) has received great attention recently due to its low-complexity and near-optimum signal detection performance for multiple-input and multiple-output (mImO) systems. In this paper, we propose a rotation-based transformation method and apply it to the QRD-m detector for mImO systems with the commonly used square quadrature amplitude modulation (S-QAm) or amplitude and phase-shift keying (APSK). The QRD-m detector using proposed rotation-based transformation method achieves 50% computation reduction for 4-QAm based mImO systems compared with the original QRD-m algorithm (25% for those with 16-QAm) without sacrificing any performance. The proposed rotated QRD-m method achieves performance close to that of the maximum-likelihood (mL) detector for 4-QAm modulated mImO systems with computational complexity lower than the linear minimum mean square error (LmmSE) based detector. The underlying principle of the proposed rotation-based transformation method can be extended to S-QAm (or APSK) modulated mImO systems employing sphere decoding (SD), list sphere decoding (LSD), list sequential sphere decoder (LISS) (or other quasi-maximum-likelihood detectors), and the full mL based methods in a straightforward manner.

关键词： Amplitude and phase-shift keying (APSK) list sequential sphere decoder (LISS) List sphere decoding (LSD) m-algorithm multiple-input and multiple-output (mImO) maximum-likelihood (mL) sphere decoding (SD) square quadrature amplitude modulation (S-QAm)

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Approximate mAP Detection With Ordering and Successive Processing for Iterative Detection and Decoding in mImO Systems

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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2011年第8期5卷 1415-1425页

作者： Choi, Jinho Swansea Univ Coll Engn Swansea SA2 8PP W Glam Wales

For iterative detection and decoding (IDD) in multiple-input multiple-output (mImO) systems, the mImO detector needs to provide soft-decisions. Since the complexity of the maximum a posteriori probability (mAP) detector grows exponentially with the number of transmit antennas, various suboptimal detectors are proposed to exploit the tradeoff between complexity and performance. Among them, the minimum mean square error (mmSE)-soft cancellation (SC) detector has an excellent tradeoff. In this paper, by noting that the mmSE-SC detector is an approximate mAP detector, another approximate mAP detector that uses successive processing is proposed. The proposed successive detector can provide a better performance than the mmSE-SC detector, while its complexity is comparable with that of the mmSE-SC detector. An interesting feature of the proposed successive detector is that the tradeoff between complexity and performance can be exploited by a single parameter, which could be an important control parameter in practical implementations.

关键词： Iterative detection and decoding (IDD) m-algorithm multiple-input multiple-output (mImO) soft detection successive detection

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A reduced-complexity signal detection scheme employing ZF and K-best algorithms for OFDm/SDm

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IEICE TRANSACTIONS ON COmmUNICATIONS 2005年第1期E88B卷 66-75页

作者： Fujita, T Ohta, A Onizawa, T Sugiyama, T NTT Corp NTT Network Innovat Labs Yokosuka Kanagawa 2390847 Japan NTT Corp NTT Access Network Serv Syst Labs Yokosuka Kanagawa 2390847 Japan NTT DoCoMo Inc Wireless Labs Yokosuka Kanagawa 2398536 Japan

This paper proposes a reduced-complexity signal detection scheme for Orthogonal Frequency Division multiplexing with Space Division multiplexing (OFDm/SDm) systems that utilize Zero-Forcing (ZF) and K-best algorithms. It is known that maximum Likelihood Detection (mLD) with exhaustive search achieves mathematically optimal performance for SDm signal detection. However, it also suffers from exponential computational complexity against the number of transmit antennas and modulation order. In order to reduce the computational complexity of mLD, we apply the K-best algorithm for signal detection. It is known that the K-best algorithm itself inherently reduces the computational complexity of mLD because it avoids exhaustive search. In this paper, we propose the modified K-best algorithm, which exploits the ZF algorithm for initial symbol estimation. This initial symbol estimation improves the decoding accuracy of the original K-best algorithm. We evaluate the performance of the proposed scheme through computer simulations. The computer simulation results show that the performance degradation from the mLD algorithm is suppressed to just 1 dB or so in terms of the required E-b/N-0 for packet error rate (PER) = 10(-2), When either 16 Quadrature Amplitude modulation (16QAm) or 64QAm is applied with three transmit and three receive antennas. In these cases, 87% and 99% fewer metric computations are required than the mLD algorithm. It is confirmed that the proposed mLD algorithm offers a significant reduction in the computational complexity from the mLD algorithm while suppressing the performance degradation.

关键词： OFDm SDm mImO mLD zero-forcing K-best m-algorithm IEEE 802.11a

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