共查询到20条相似文献,搜索用时 31 毫秒
1.
针对Turbo编码频选慢衰落MIMO信道,提出基于滑窗式概率数据辅助(Probabilistic Data Association)的软输出判决反馈均衡和软输入软输出Turbo信道解码器间迭代处理的Turbo均衡算法。充分利用已获得的信息,实现信道均衡与信道解码的迭代更新,克服传统判决反馈均衡器误差传播的缺陷。仿真表明,该系统经3次迭代就可获得较为满意的符号间干扰消除效果。 相似文献
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We consider turbo equalization for intersymbol interference (ISI) channels, wherein soft symbol decisions generated by the channel detector are iteratively exchanged with the outer error-correction decoder based on the turbo principle. Our work is based on low-complexity suboptimal soft-output channel detection using a constrained-delay (CD) a posteriori probability (APP) algorithm. Central to the proposed idea is the incorporation of effective decision-feedback schemes, which significantly reduce complexity while providing immunity against error propagation that typically plagues decision-feedback schemes. We observe that the effect of decision feedback is quite different on turbo equalization versus traditional, hard-decision-generating and noniterative equalization. In particular, we demonstrate that when the feedback scheme applied is inadequate for the given equalizer parameters and ISI condition, the extrinsic information generated by the equalizer becomes distinctly non-Gaussian, and the quality of soft information, as monitored by the trajectory of mutual information, fails to improve in the iterative process. We identify parameters of feedback-based CD-APP schemes that offer favorable complexity/performance tradeoffs, compared with existing turbo-equalization techniques. 相似文献
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Near-optimum decoding of product codes: block turbo codes 总被引:2,自引:0,他引:2
This paper describes an iterative decoding algorithm for any product code built using linear block codes. It is based on soft-input/soft-output decoders for decoding the component codes so that near-optimum performance is obtained at each iteration. This soft-input/soft-output decoder is a Chase decoder which delivers soft outputs instead of binary decisions. The soft output of the decoder is an estimation of the log-likelihood ratio (LLR) of the binary decisions given by the Chase decoder. The theoretical justifications of this algorithm are developed and the method used for computing the soft output is fully described. The iterative decoding of product codes is also known as the block turbo code (BTC) because the concept is quite similar to turbo codes based on iterative decoding of concatenated recursive convolutional codes. The performance of different Bose-Chaudhuri-Hocquenghem (BCH)-BTCs are given for the Gaussian and the Rayleigh channel. Performance on the Gaussian channel indicates that data transmission at 0.8 dB of Shannon's limit or more than 98% (R/C>0.98) of channel capacity can be achieved with high-code-rate BTC using only four iterations. For the Rayleigh channel, the slope of the bit-error rate (BER) curve is as steep as for the Gaussian channel without using channel state information 相似文献
4.
In this paper, a doubly iterative receiver is proposed for joint turbo equalization, demodulation, and decoding of coded binary continuous-phase modulation (CPM) in multipath fading channels. The proposed receiver consists of three soft-input soft-output (SISO) blocks: a front-end soft-information-aided minimum mean square error (MMSE) equalizer followed by a CPM demodulator and a back-end channel decoder. The MMSE equalizer, combined with an a priori soft-interference canceler (SIC) and an a posteriori probability mapper, forms a SISO processor suitable for iterative processing that considers discrete-time CPM symbols which belong to a finite alphabet. The SISO CPM demodulator and the SISO channel decoder are both implemented by the a posteriori probability algorithm. The proposed doubly iterative receiver has a central demodulator coupled with both the front-end equalizer and the back-end channel decoder. A few back-end demodulation/decoding iterations are performed for each equalization iteration so as to improve the a priori information for the equalizer. As presented in the extrinsic information transfer (EXIT) chart analysis and simulation results for different multipath fading channels, this provides not only faster convergence to low bit error rates, but also lower computational complexity. 相似文献
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This paper presents an iterative soft-input/soft-output (SISO) decoderfor product code using optimality test and amplitude clipping. A modifiedexpression for computing the soft-output of SISO decoder is proposed.The correlation discrepancy is employed to provide an optimality teston the decision codeword. The optimality test is performed in rowand column decoding to evaluate the reliability of row and columndecision codewords. Based on the optimality test, the variable reliabilityfactor is introduced for optimization of turbo decoding. A stoppingcriterion with very little performance degradation is also designedfor turbo decoding of product codes by using the optimality test.Besides, the amplitude clipping is employed to improve the performanceof turbo product code. Simulation results on the performance of theintroduced SISO decoder are presented. 相似文献
7.
Liang Dong 《Wireless Personal Communications》2010,55(4):631-644
Turbo equalization that cooperates with channel prediction and iterative channel estimation is investigated for mobile wireless
communications. Frames of information bits are encoded, interleaved, and mapped to symbols for transmission over time-varying
frequency-selective fading channels. At the receiver, the Turbo equalizer consists of a maximum a posteriori probability equalizer/demapper
and a soft-input soft-output maximum a posteriori probability decoder. With initial channel estimates and sparse pilot insertion
across a number of frames, the receiver predicts the channel of the current frame. The effect of error propagation of channel
prediction is mitigated by the de-interleaver that is embedded in the Turbo equalizer. The predicted and interpolated channel
is refined through a channel estimator that uses the soft estimates of data symbols at each Turbo iteration. Due to the bandlimiting
feature of channel variation, the channel estimation error can be smoothed by low-pass filters that follow the channel estimator.
Simulation results show that incorporating Turbo equalization with channel prediction and iterative channel estimation can
combat time- and frequency-selective fading and improve reception performance. 相似文献
8.
Laot C. Glavieux A. Labat J. 《Selected Areas in Communications, IEEE Journal on》2001,19(9):1744-1752
This paper deals with a receiver scheme where adaptive equalization and channel decoding are jointly optimized in an iterative process. This receiver scheme is well suited for transmissions over a frequency-selective channel with large delay spread and for high spectral efficiency modulations. A low-complexity soft-input soft-output M-ary channel decoder is proposed. Turbo equalization allows intersymbol interference to be reduced drastically. For most time-invariant discrete channels, the turbo-equalizer performance is close to the coded Gaussian channel performance, even for low signal-to-noise ratios. Finally, results over a time-varying frequency-selective channel proves the excellent behavior of the turbo equalizer 相似文献
9.
Wangrok Oh Kyungwhoon Cheun 《Communications Letters, IEEE》2000,4(8):255-257
We propose an adaptive channel SNR estimation algorithm required for the iterative MAP decoding of turbo decoders. The proposed algorithm uses the extrinsic values generated within the iterative MAP decoder to update the channel SNR estimate toward its optimum value per each decoder iteration or per each turbo code frame 相似文献
10.
Adaptive Channel Estimation Aided Log-Map Turbo Decoder Implementation for DS-CDMA Based Mobile Systems 总被引:1,自引:1,他引:0
Mo Fan Kim Junghwan Dave Sameep Kwatra Subhash C. 《Wireless Personal Communications》2004,28(3):179-204
Practical implementation of convolutional turbo codec is impeded by the difficulty of real-time execution in high transmission
rate communication systems due to high computational complexity, iterative block decoding structure, as well as the requirement
of accurate on-line channel reliability estimation for maximum-likelihood decoding. Relying on innovative channel estimation
techniques involving DS-CDMA specific noise/interference variance estimation and fading channel variation tracking, this paper
provides a low-complexity all-digital design of an iterative SISO log-MAP turbo decoder for DS-CDMA based mobile communication
systems. The issues of quantization and data flow in both pre-decoder processing module and iterative trellis decoding module
are prudently addressed to ensure highly efficient hardware implementation. The efficient design strategies applied confine
the decoding complexity while leading to an excellent performance within 0.2 dB of the software decoder. 相似文献
11.
Combined turbo equalization and turbo decoding 总被引:1,自引:0,他引:1
In this letter, the subject of turbo coding in the presence of an intersymbol interference channel is investigated. An iterative decoder structure is presented, which combines channel equalization and turbo decoding. At each iteration extrinsic information from the channel detector is fed into the turbo decoders, and then their extrinsic information is fed back to the channel detector. Simulation results are presented for a rate 1/2 turbo code with binary phase-shift keying (BPSK) modulation, transmitted over an intersymbol interference (ISI) channel having severe frequency distortion. The performance is about 0.8 dB from the ISI channel capacity at a bit-error rate of 10-5 相似文献
12.
Seok-Jun Lee Naresh R. Shanbhag Andrew C. Singer 《Journal of Signal Processing Systems》2005,39(1-2):49-62
In this paper, energy efficient VLSI architectures for linear turbo equalization are studied. Linear turbo equalizers exhibit dramatic bit error rate (BER) improvement over conventional equalizers by enabling a form of joint equalization and decoding in which soft information is iteratively exchanged between the equalizer and decoder. However, turbo equalizers can be computationally complex and hence require significant power consumption. In this paper, we present an energy-efficient VLSI architecture for such linear turbo equalizers. Key architectural techniques include elimination of redundant operations and early termination. Early termination enables powering down parts of the soft-input soft-output (SISO) equalizer and decoder thereby saving power. Simulation results show that energy savings in the range 30–60% and 10–60% are achieved in equalization and decoding, respectively. Furthermore, we present finite precision requirements of the linear turbo equalizer and an efficient rescaling method to prevent overflow. 相似文献
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用于盲接收的turbo均衡与迭代信道估计 总被引:1,自引:0,他引:1
Turbo均衡是一种将信道均衡和差错控制译码联合迭代处理的均衡机制,与传统的均衡器相比,能在更低的信噪比条件下克服严重信道失真导致的符号间干扰(ISI)。该文提出一种用于盲接收的turbo均衡和迭代信道估计方案,不依赖于训练序列或发送符号的先验知识,采用初始盲均衡处理来启动迭代信道估计和turbo均衡。在该方案中,初始盲均衡算法的选择是十分关键的,它需要在恶劣的信道条件为后续迭代处理的启动提供足够的先验信息。该文根据turbo均衡的特点,选择了超指数算法作为初始盲均衡。仿真结果表明,该文提出的用于盲接收的turbo均衡方案是有效的。 相似文献
16.
The concept of concatenated codes and turbo decoding is well known and leads to a remarkably good performance in many applications. The resulting signal processing for this concept shows high complexity relative to conventional Viterbi decoding. This paper, therefore, considers an alternative concept of turbo decoding to reduce the computational complexity. In thiscase, those sections of the sequence to be decoded, where changes of bit decisions (compared to the previous iteration step) are very unlikely,are excluded from the soft-output viterbi algorithm (SOVA). This decoding is much easier to process and the loss of bit error rate (BER) performance isquite small or even negligible in comparison to conventional turbo decoding. 相似文献
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Imad Barhumi 《Wireless Communications and Mobile Computing》2014,14(18):1691-1703
In this paper, turbo equalization for transmission over doubly selective channels is proposed. The maximum a posteriori probability (MAP) algorithm is used for channel detection as well as for channel decoding. The detection/decoding constituents can exchange soft information in an iterative manner resulting in the so‐called turbo equalization. The time‐varying multi‐path fading channel is modeled using the basis expansion model (BEM). In this BEM, the time‐varying channel is viewed as a bank of time‐invariant finite impulse response filters, and the time variation is captured by means of time‐varying complex exponential basis functions. Therefore, the time‐varying transition tables that characterize the time‐varying channel can also follow a similar BEM. The complexity of the MAP channel detector is rather prohibitive for practical applications. This motivates the search for lower‐complexity soft‐output channel detectors. For this purpose, soft‐output linear minimum‐mean square error (LMMSE)‐based channel detectors are proposed for single carrier as well as for multi‐carrier systems. With the use of Gaussian approximation, expressions for the a posteriori and extrinsic log‐likelihood ratios have been derived. The performance of the proposed turbo equalization schemes are evaluated using numerical simulations. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
19.
We propose a method for exploiting transmit diversity using parallel independent intersymbol interference channels together with an iterative equalizing receiver. Linear iterative turbo equalization (LITE) employs an interleaver in the transmitter and passes a priori information on the transmitted symbols between multiple soft-input/soft-output minimum mean-square error linear equalizers in the receiver. We describe the LITE algorithm, present simulations for both stationary and fading channels, and develop a framework for analyzing the evolution of the a priori information as the algorithm iterates. 相似文献