In view of the inaccuracy of the estimated symbols on the edge of the observation window, a decision-feedback subset aided multiple-symbol differential detection(MSDD) framework, dubbed DF-S-MSDD, is proposed in ultra...In view of the inaccuracy of the estimated symbols on the edge of the observation window, a decision-feedback subset aided multiple-symbol differential detection(MSDD) framework, dubbed DF-S-MSDD, is proposed in ultra-wideband impulse radio(UWB-IR) system with differential space-time block-code(DSTBC) modulation. Specifically, motivated by the decision-feedback aided MSDD(DF-MSDD), a subset of the decision-feedback symbols is selected, and the optimal symbols are preserved, and then all the remaining symbols are optimized. Furthermore, the simulations validate that the proposed DF-S-MSDD provides solid bit error-rate performance with a low complexity in UWB-IR system with DSTBC modulation.展开更多
The main challenges of data streams classification include infinite length, concept-drifting, arrival of novel classes and lack of labeled instances. Most existing techniques address only some of them and ignore other...The main challenges of data streams classification include infinite length, concept-drifting, arrival of novel classes and lack of labeled instances. Most existing techniques address only some of them and ignore others. So an ensemble classification model based on decision-feedback（ECM-BDF） is presented in this paper to address all these challenges. Firstly, a data stream is divided into sequential chunks and a classification model is trained from each labeled data chunk. To address the infinite length and concept-drifting problem, a fixed number of such models constitute an ensemble model E and subsequent labeled chunks are used to update E. To deal with the appearance of novel classes and limited labeled instances problem, the model incorporates a novel class detection mechanism to detect the arrival of a novel class without training E with labeled instances of that class. Meanwhile, unsupervised models are trained from unlabeled instances to provide useful constraints for E. An extended ensemble model Ex can be acquired with the constraints as feedback information, and then unlabeled instances can be classified more accurately by satisfying the maximum consensus of Ex. Experimental results demonstrate that the proposed ECM-BDF outperforms traditional techniques in classifying data streams with limited labeled data.展开更多
To mitigate the effects of the previous symbol decision errors of a decision-feedback （DF） equalizer on the current decision, a particle filter （PF） based DF equalizer for frequency selective multiple-input-multip...To mitigate the effects of the previous symbol decision errors of a decision-feedback （DF） equalizer on the current decision, a particle filter （PF） based DF equalizer for frequency selective multiple-input-multiple-output （MIMO） channel is proposed. On the basis of the analyses of DF equalization for the MIMO wireless system, it is found that a stochastic interference cancellation （IC） scheme can be employed to prevent the error propagation in a severe space-time interference scenario. This is because the random rather than the deterministic scheme can reduce the probability of an error decision even if an error decision occurs. Besides, the signal-to-interference-plus-noise ratio （SINR） based IC order, which is obtained via pilot, can guarantee the optimality of the cancellation. The bit error rate （BER） performance of the proposed scheme is verified through simulation experiments under different multipath interference environment.展开更多
Several multiuser detectors for Code-Division Multiple-Access(CDMA) system have be'n studied recently. In this paper we propose the orthogonal decision-feedback detector. It combines the decorrelating decisionfeed...Several multiuser detectors for Code-Division Multiple-Access(CDMA) system have be'n studied recently. In this paper we propose the orthogonal decision-feedback detector. It combines the decorrelating decisionfeedback detector with the orthogonal detector, and has the merit of good performance of the decorrelating decisionfeedback detector and simple structure of the orthogonal detector The performance of the new multiuser detector is close to the decorrelating decision-feedback detector but its construction is simpler. Because of the similarities betWeen the multiuser detection problem and the decoding of the convolutional code, a tree search algorithm is taken on the detector which makes its performance improved. and approaches the single user bound.展开更多
This paper presents a 32 Gbps wireline transceiver that not only supports the JESD204 C standard but also maintains back-compatibility with JESD204B with minimal additional circuitry.Additionally,a pattern-filtered ph...This paper presents a 32 Gbps wireline transceiver that not only supports the JESD204 C standard but also maintains back-compatibility with JESD204B with minimal additional circuitry.Additionally,a pattern-filtered phase detector(PFPD)is proposed to circumvent the side effect of ambiguous sampling clock phase caused by loop-unrolled 1st post-cursor tap equalization scheme in the decision-feedback equalization(DFE).A 16 GHz external half-rate clock is injected into an on-chip injection-locked ring oscillator to distribute the 16 GHz clock for both the receiver and the transmitter.Multiple on-chip adaption engines and calibration loops are also added to assist the whole system work properly,such as tap weight and desired level adaption engine integrated into the decision-feedback equalizer,duty cycle distortion correction and IQ-mismatch correction.Fabricated in 28 nm CMOS process,the proposed transceiver demonstrates its ability to operate within a signaling range from 312.5 Mbps to 32 Gbps,achieving a BER below 10−12 over a 14.9 dB channel loss at Nyquist frequency.It occupies an aggregated area of 1.4 mm^(2)and consumes 203 mW at 32 Gbps,in which 50 mW for the transmitter(TX)and 153 mW for the receiver(RX),therefore end up achieving 6.34pJ/bit power efficiency at 32 Gbps.展开更多
基金Supported by the National Natural Science Foundation of China(No.61562058)Lanzhou University of Technology Hongliu Excellent Youth Talent Support Program。
文摘In view of the inaccuracy of the estimated symbols on the edge of the observation window, a decision-feedback subset aided multiple-symbol differential detection(MSDD) framework, dubbed DF-S-MSDD, is proposed in ultra-wideband impulse radio(UWB-IR) system with differential space-time block-code(DSTBC) modulation. Specifically, motivated by the decision-feedback aided MSDD(DF-MSDD), a subset of the decision-feedback symbols is selected, and the optimal symbols are preserved, and then all the remaining symbols are optimized. Furthermore, the simulations validate that the proposed DF-S-MSDD provides solid bit error-rate performance with a low complexity in UWB-IR system with DSTBC modulation.
基金supported by the National Natural Science Foundation of China(61202082)the Fundamental Research Funds for the Central Universities(BUPT2012RC0218,BUPT2012RC0219)
文摘The main challenges of data streams classification include infinite length, concept-drifting, arrival of novel classes and lack of labeled instances. Most existing techniques address only some of them and ignore others. So an ensemble classification model based on decision-feedback（ECM-BDF） is presented in this paper to address all these challenges. Firstly, a data stream is divided into sequential chunks and a classification model is trained from each labeled data chunk. To address the infinite length and concept-drifting problem, a fixed number of such models constitute an ensemble model E and subsequent labeled chunks are used to update E. To deal with the appearance of novel classes and limited labeled instances problem, the model incorporates a novel class detection mechanism to detect the arrival of a novel class without training E with labeled instances of that class. Meanwhile, unsupervised models are trained from unlabeled instances to provide useful constraints for E. An extended ensemble model Ex can be acquired with the constraints as feedback information, and then unlabeled instances can be classified more accurately by satisfying the maximum consensus of Ex. Experimental results demonstrate that the proposed ECM-BDF outperforms traditional techniques in classifying data streams with limited labeled data.
基金supported in part by the National Natural Science Foundation of China (60672047)the Shanghai Postdoctoral Scientific Program (05R214110).
文摘To mitigate the effects of the previous symbol decision errors of a decision-feedback （DF） equalizer on the current decision, a particle filter （PF） based DF equalizer for frequency selective multiple-input-multiple-output （MIMO） channel is proposed. On the basis of the analyses of DF equalization for the MIMO wireless system, it is found that a stochastic interference cancellation （IC） scheme can be employed to prevent the error propagation in a severe space-time interference scenario. This is because the random rather than the deterministic scheme can reduce the probability of an error decision even if an error decision occurs. Besides, the signal-to-interference-plus-noise ratio （SINR） based IC order, which is obtained via pilot, can guarantee the optimality of the cancellation. The bit error rate （BER） performance of the proposed scheme is verified through simulation experiments under different multipath interference environment.
文摘Several multiuser detectors for Code-Division Multiple-Access(CDMA) system have be'n studied recently. In this paper we propose the orthogonal decision-feedback detector. It combines the decorrelating decisionfeedback detector with the orthogonal detector, and has the merit of good performance of the decorrelating decisionfeedback detector and simple structure of the orthogonal detector The performance of the new multiuser detector is close to the decorrelating decision-feedback detector but its construction is simpler. Because of the similarities betWeen the multiuser detection problem and the decoding of the convolutional code, a tree search algorithm is taken on the detector which makes its performance improved. and approaches the single user bound.
基金supported by Beijing Municipal Science and Technology through Project Number Z221100007722024.
文摘This paper presents a 32 Gbps wireline transceiver that not only supports the JESD204 C standard but also maintains back-compatibility with JESD204B with minimal additional circuitry.Additionally,a pattern-filtered phase detector(PFPD)is proposed to circumvent the side effect of ambiguous sampling clock phase caused by loop-unrolled 1st post-cursor tap equalization scheme in the decision-feedback equalization(DFE).A 16 GHz external half-rate clock is injected into an on-chip injection-locked ring oscillator to distribute the 16 GHz clock for both the receiver and the transmitter.Multiple on-chip adaption engines and calibration loops are also added to assist the whole system work properly,such as tap weight and desired level adaption engine integrated into the decision-feedback equalizer,duty cycle distortion correction and IQ-mismatch correction.Fabricated in 28 nm CMOS process,the proposed transceiver demonstrates its ability to operate within a signaling range from 312.5 Mbps to 32 Gbps,achieving a BER below 10−12 over a 14.9 dB channel loss at Nyquist frequency.It occupies an aggregated area of 1.4 mm^(2)and consumes 203 mW at 32 Gbps,in which 50 mW for the transmitter(TX)and 153 mW for the receiver(RX),therefore end up achieving 6.34pJ/bit power efficiency at 32 Gbps.
