An improved adaptive DFE structure based on ISI detection

Babazadeh, Asghar; Khanshan, Tohid Moradi; Esmaili, Arash

doi:10.1007/s10470-019-01437-7

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, this formula is the general form of the LMS blind equalization algorithm. The proposed blind equalization method is developed on the basis of the normalized LMS (NLMS) method and the recursive least squares (RLS) method, while the LMS and NLMS methods are proposed based on the steepest descent method [16,17]. First of all, an initial weight value is given.…”

Section: Collaborative Blind Equalization Methodsmentioning

confidence: 99%

Collaborative Blind Equalization for Time-Varying OFDM Applications Enabled by Normalized Least Mean and Recursive Square Methodologies

et al. 2020

View full text Add to dashboard Cite

In this work, a collaborative blind equalization method for the orthogonal frequency division multiplexing (OFDM) signals in time-varying channels is presented. Equalizers are eliminated the intersymbol interference (ISI) in the received signals caused by channel distortions. The conventional adaptive equalization requires sending the training-sequences periodically to synthesize the channel model, which can only provide redundant information, and consequently decrease the channel utilization and complicate the system. To overcome this drawback, the blind equalization methods, which need not send the trainingsequences periodically, is developed. However, the conventional blind equalization methods still suffer from various disadvantages. The normalized least mean square (NLMS) method is able to converge rapidly, whereas its equalization error is relatively large. The recursive least square (RLS) method has smaller steady-state error but low convergence rate, demanding massive training sequences. To further enhance the equalization performance of time-varying OFDM systems, which is typically with massive calculation, a collaborative blind equalization is proposed in this work, which is able to effectively combine the characteristics of the conventional NLMS and RLS methods together. The numerical simulations demonstrate the proposed LM-RS method can exhibit quite good performance. Particularly, as compared with the conventional NLMS and RLS methods, the proposed LM-RS method achieves smaller steady-state error and lower complexity, as well as similar convergence rate. All these results indicate that the proposed collaborative LM-RS blind equalization method is suitable for the OFDM transmission under the time-varying wireless application environments. INDEX TERMS Blind equalization; normalized least mean square (NLMS); orthogonal frequency division modulation (OFDM); recursive least square (RLS); time-varying channel

show abstract

Section: Collaborative Blind Equalization Methodsmentioning

confidence: 99%

Collaborative Blind Equalization for Time-Varying OFDM Applications Enabled by Normalized Least Mean and Recursive Square Methodologies

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Common equalization techniques in high-speed serial links can be divided into liner equalizers (LE) and decision feedback equalizer (DFE) [5,6,7,8,9]. LE uses the frequency characteristics of the adjustable filter to compensate the channel loss, but for high-speed (> 5 Gbps) serial link, since the signal jitter (such as ISI related deterministic jitter) may exceed a symbol interval (UI), using LE alone is no longer applicable [10,11,12,13]. On the other hand, LE amplifies the noise and signal together, which does not improve the BER performance of the communication system [14,15,16].…”

Section: Introductionmentioning

confidence: 99%

A 25Gb/s RX front-end with multi-stage linear equalizer and 3-tap speculative DFE in 65nm CMOS technology

Zhu

Chu

2023

IEICE Electron. Express

View full text Add to dashboard Cite

This work proposes a RX front-end structure, which is used for channel equalization of 25 Gb/s high-speed links. This design includes two parts, linear equalizer and decision feedback equalizer. Linear equalizer consists of the variable gain amplifier, the continuous-time linear equalizer and the output buffer, which provide 19 dB peaking gain around the Nyquist frequency. The half-rate decision feedback equalizer with one speculative tap is cascaded after the buffer to eliminate residual inter-symbol interference. The circuit layout occupies an area of 0.005 mm 2 designed in 65 nm CMOS, the power consumption of which is 96 mW under 1.2 V power supply. The design is used to equalize the FR-4 backplane channel, of which the insertion loss reaches 35 dB at 12.5 GHz. The result shows that both the voltage margin and time margin of the receiver signal reach 171 mV and 0.61 UI at the BER of 10 −12 , respectively.

show abstract

Research on the Application of Polar Codes in Underwater Acoustic Communication

Xing

Zhang

et al. 2021

2021 7th International Conference on Computer and Communications (ICCC)

View full text Add to dashboard Cite

An improved adaptive DFE structure based on ISI detection

Cited by 3 publications

References 9 publications

Collaborative Blind Equalization for Time-Varying OFDM Applications Enabled by Normalized Least Mean and Recursive Square Methodologies

Collaborative Blind Equalization for Time-Varying OFDM Applications Enabled by Normalized Least Mean and Recursive Square Methodologies

A 25Gb/s RX front-end with multi-stage linear equalizer and 3-tap speculative DFE in 65nm CMOS technology

Research on the Application of Polar Codes in Underwater Acoustic Communication

Contact Info

Product

Resources

About