The finite-length multi-input multi-output MMSE-DFE
نویسندگان
چکیده
A new theoretical framework is introduced for analyzing the performance of a finite-length minimum-mean-squareerror decision feedback equalizer (MMSE-DFE) in a multi-input multi-output (MIMO) environment. The framework includes transmit and receive diversity systems as special cases and quantifies the diversity performance improvement as a function of the number of transmit/receive antennas and equalizer taps. Fast and parallelizable algorithms for computing the finite-length MIMO MMSE-DFE are presented for three common multi-user detection scenarios.
منابع مشابه
Adaptive Multi-Input Multi-Output Fading Channel Equalization Using Kalman Estimation
Absrrucr-This paper addresses the problem of adaptive channel tracking and equalization for multi-input multi-output (MIMO) time-variant frequency-selective channels. A finite-length minimum-mean-squarederror decision-feedback equalizer (MMSE-DFE) performs the equalization task, while a Kalman filter tracks the MIMO channel, which models the corrupting effects of inter-symbol interference @SI),...
متن کاملMulti-input multi-output fading channel tracking and equalization using Kalman estimation
This paper addresses the problem of channel tracking and equalization for multi-input multi-output (MIMO) time-variant frequencyselective channels. These channels model the corrupting effects of intersymbol interference (ISI), co-channel interference (CCI), and noise. A firstorder autoregressive model describes the MIMO channel variation, and tracking is performed by a Kalman filter. Hard decis...
متن کاملOn the robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errors
The finite-length minimum mean square error decision-feedback equalizer (MMSE-DFE) is an efficient structure mitigating intersymbol interference (ISI) introduced by practically all communication channels at high-enough symbol rates. The filters constituting the MMSE-DFE, as well as related performance measures, can be computed by assuming perfect knowledge of the channel impulse response and th...
متن کاملMulti-Input Multi-Output MLP/BP-based Decision Feedback Equalizers for Overcoming Intersymbol Interference and Co-Channel Interference in Band-Limited Channels
This paper presents a multi-input multi-output (MIMO) multi-layered perceptron neural network with backpropagation algorithm (MLP/BP). The proposal is a waveform equalizer for distorted nonreturn-to-zero (NRZ) data recovery in band-limited channels with co-channel interference (CCI). From the simulation results, we note that the proposed design can recover severe distorted NRZ data as well as s...
متن کاملChannel Equalization of WCDMA Downlink System Using Finite Length MMSE-DFE
The performance of WCDMA system deteriorates in the presence of multipath fading environment. Fading destroys the orthogonality and is responsible for multiple access interference (MAI). Though conventional rake receiver provides reasonable performance in the WCDMA downlink system due to path diversity, but it does not restores the orthogonality. Linear equalizer restores orthogonality and supp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 48 شماره
صفحات -
تاریخ انتشار 2000