Channel Equalization for MIMO LTE System in Multi-path Fading Channels
3
Citation
10
Reference
10
Related Paper
Citation Trend
Keywords:
Doppler frequency
This paper proposes a new equalization of indoor visible light communication based on mobile localization. Compared with zero-forcing equalization which has a large noise gain occurring at the deep fading points. Minimum mean square error equalization is more suitable for multi-channel and it performs well in equalization. By combining the mobile positioning technology and the single-carrier frequency domain minimum mean squared error equalization, the proposed method of equalization can simply counteract inter-symbol interference without inserting training sequences.
Blind equalization
Cite
Citations (1)
In this study, we analyze and compare the performances of the two-dimensional (2D) linear minimum mean square error (MMSE) and zero-forcing (ZF) equalization methods and the 2D nonlinear adaptive Volterra and adaptive decision feedback equalization methods for data pages recorded and retrieved in a holographic data storage system, as well as for simulated data. The results show that the MMSE equalizer works well even at a low signal-to-noise ratio (SNR). We also investigate the practical and simplified implementations of the 2D MMSE equalizer and show that these implementations do not degrade the performance of the equalizer significantly.
Adaptive equalizer
Implementation
Holographic Data Storage
Cite
Citations (9)
A simplified Doppler diversity technique for orthogonal frequency division multiplexing (OFDM) high-speed mobile communication systems has been proposed in this paper. And SIR has been analyzed for OFDM receiver with the proposed Doppler diversity without losing the diversity performance. The optimal configuration of this receiver has also been researched to improve the system performance. Finally, simulation results of SIR for OFDM receiver and comparison have been given.
Doppler frequency
Diversity scheme
Diversity gain
Cite
Citations (13)
This paper presents an approach to improve the sensing accuracy of an orthogonal frequency division multiplexing (OFDM) waveform, based on estimation of delay/Doppler leakages in the channel matrix. Both simulation and proof-of-concept experiment are implemented, and the ranging accuracy improvement is validated in a W-band system, making the proposed approach promising in driving the convergence of OFDM-based sensing and communications.
Doppler frequency
Ranging
Cite
Citations (0)
A number of important advances have been made in the area of joint equalization and decoding of data transmitted over intersymbol interference (ISI) channels. Turbo equalization is an iterative approach to this problem, in which a maximum a posteriori probability (MAP) equalizer and a MAP decoder exchange soft information in the form of prior probabilities over the transmitted symbols. A number of reduced-complexity methods for turbo equalization have been introduced in which MAP equalization is replaced with suboptimal, low-complexity approaches. We explore a number of low-complexity soft-input/soft-output (SISO) equalization algorithms based on the minimum mean square error (MMSE) criterion. This includes the extension of existing approaches to general signal constellations and the derivation of a novel approach requiring less complexity than the MMSE-optimal solution. All approaches are qualitatively analyzed by observing the mean-square error averaged over a sequence of equalized data. We show that for the turbo equalization application, the MMSE-based SISO equalizers perform well compared with a MAP equalizer while providing a tremendous complexity reduction.
Turbo
Turbo equalizer
Adaptive equalizer
Blind equalization
EXIT chart
Cite
Citations (958)
The application of equalization schemes to Single Carrier (SC) modulation techniques has made them a valuable alternative to Orthogonal Frequency Division Multiplexing (OFDM). Equalization schemes mitigate Inter Symbol Interference (ISI) caused by multipath fading which degrades the performance of modulation schemes. In this paper we study Zero Forcing, Minimum Mean Square Error and Decision Feedback equalization schemes and compare their Bit Error rate (BER) performance with Maximum likelihood sequence estimation (MLSE) based Matched Filter Bound (MFB), also called as optimum filter. Simulations in Matlab show that BER performance of Decision Feedback Equalizer (DFE) is better than Zero Forcing Equalizer (ZFE) and Minimum Mean Square Error (MMSE) equalizer and is comparable to the performance of MFB with DFE having very low complexity as compared to MLSE based MFB.
Adaptive equalizer
Modulation (music)
Cite
Citations (4)
We present a novel and simple-to-implement nonlinear equalization approach for holographic data storage systems. Our results show that the proposed approach significantly outperforms the linear equalization approach in terms of minimum mean square error as well as bit error rate.
Holographic Data Storage
Square (algebra)
Mean square
Cite
Citations (5)
A new decision feedback equalizer algorithm which is called Double MMSE Feedback Equalizer and D-MMSE-FE for short was presented to improve the ability of linear equalizer and avoid the high complexity of the traditional decision feedback equalizer. The new algorithm analyses the result of linear MMSE equalizer first and obtains the front and back transfer functions according to the minimum mean square error criterion. A link circuit is employed to improve the ability of equalizer. The new Equalizer is put into use in the TDD LTE uplink SIMO 1 × 2 receiver as an example,and simulated in the common channels in 3GPP protocol. The results show that the new equalizer improves equalization performance by up to 2 d B compared with the linear equalizer.
Adaptive equalizer
Turbo equalizer
Cite
Citations (0)
In this paper we propose a low complexity frequency-domain method for finding the minimum mean square error (MMSE) equalizer. Special properties of circulant matrices are exploited in the method. Simulations show that only a minor performance loss is experienced compared to time-domain processing. We also compare joint space-time processing to decoupled equalization and spatial combining. The complexity reduction due to the decoupled processing is evident, while the performance loss remains small. Consequently, the proposed low complexity frequency-domain method can also be used with multiple receive antennas with tolerable performance loss compared to joint space time equalization. Additionally, different MMSE equalizer definitions for multiple receive antennas are considered, and their performance is studied in simulation using estimated channels. Simulations are carried out in high data rate WCDMA system model.
Adaptive equalizer
Cite
Citations (3)
This paper investigates turbo equalization (TE) with linear minimum mean squared error (LMMSE) equalizer, which has much lower complexity but much worse performance than TE with maximum a posteriori (MAP) equalizer because of inefficient information processing of LMMSE equalizer. Motivated by forward and backward recursions of MAP algorithm, three methods are presented to improve turbo equalization with LMMSE equalizer (TE-LMMSE). In the simulation, they all obtain more than 2.5-dB performance gain over TE-LMMSE with no or some complexity price.
Turbo equalizer
Turbo
Adaptive equalizer
Turbo code
Cite
Citations (0)