19 research outputs found
Noise optimized eigenfilter design of time-domain equalizers for DMT systems
The design of time-domain equalizers or TEQs for discrete multitone modulation (DMT) systems has recently received much attention. In this paper, we present a generalization of one such design method which takes into account the noise observed in a DMT channel. Furthermore, we show how this generalization can be used for the design of fractionally spaced equalizers or FSEs. Experimental results are presented showing that our design method performs better than other known techniques
A blind channel shortening for multiuser, multicarrier CDMA system over multipath fading channel
In this paper we derive the Multicarrier Equalization by Restoration of Redundancy (MERRY) algorithm: A blind, adaptive channel shortening algorithm for updating a Time-domain Equalizer (TEQ) in a system employing MultiCarrier Code Division Multiple Access (MC-CDMA) modulation. We show that the MERRY algorithm applied to the MC-CDMA system converges considerably more rapidly than in the Orthogonal Frequency Division Multiplexing (OFDM) system [1]. Simulations results are provided to demonstrate the performance of the algorithm
Maximizing the Channel Capacity of Multicarrier Transmission by Suitable Adaptation of the Time-Domain Equalizer
Abstract-An adaptation algorithm for determining the timedomain equalizer coefficients is described that maximizes the total channel capacity for all carriers of a multitone (discrete multitone) transmission. It takes into account the crosstalk noise environment and the interblock interference as a common disturbance. Furthermore, the leakage effect of the discrete Fourier transform (fast Fourier transform) is considered, too. Including this into the algorithm for the equalizer coefficients leads to a notable improvement in the signal-to-noise ratio, especially at lower frequencies for a typical asymmetrical digital subscriber line application
Intersymbol and Intercarrier Interference in OFDM Systems: Unified Formulation and Analysis
A unified matrix formulation is presented for the analysis of intersymbol and
intercarrier interference in orthogonal frequency-division multiplexing (OFDM)
systems. The proposed formulation relies on six parameters and allows studying
various schemes, including those with windowing in the transmitter and/or in
the receiver (called windowed OFDM systems), which may add cyclic suffix and/or
cyclic prefix (CP), besides the conventional CP-OFDM. The proposed framework
encompasses seven different OFDM systems. It considers the overlap-and-add
procedure performed in the transmitter of windowed OFDM systems, being jointly
formulated with the channel convolution. The intersymbol and intercarrier
interference, caused when the order of the channel impulse response is higher
than the number of CP samples, is characterized. A new equivalent channel
matrix that is useful for calculating both the received signal and the
interference power is defined and characterized. Unlike previous works, this
new channel matrix has no restrictions on the length of the channel impulse
response, which means that the study is not constrained to the particular case
of two or three data blocks interfering in the received signal. Theoretical
expressions for the powers of three different kinds of interference are
derived. These expressions allow calculating the
signal-to-interference-plus-noise ratio, useful for computing the data rate of
each OFDM system. The proposed formulation is applied to realistic examples,
showing its effectiveness through comparisons based on numerical performance
assessments of the considered OFDM systems
Memory truncation and crosstalk cancellation for efficient Viterbi detection in FDMA systems, Journal of Telecommunications and Information Technology, 2001, nr 3
In this paper, the design of optimal receive filter banks for frequency division multiple access (FDMA) over frequency selective channels is investigated. A new design strategy based on the principle of memory truncation, rather than equalization, is presented. Through the receive filters, each subchannel is truncated to a pre-defined length, and the final data recovery is carried out via low complexity Viterbi detectors. Both closed form designs and adaptive techniques are discussed. Design examples are presented for high speed transmission over copper wires. The examples show that memory truncation allows significant performance improvements over the often used minimum mean squared error (MMSE) equalization
Performance Analysis of Heterogeneous Feedback Design in an OFDMA Downlink with Partial and Imperfect Feedback
Current OFDMA systems group resource blocks into subband to form the basic
feedback unit. Homogeneous feedback design with a common subband size is not
aware of the heterogeneous channel statistics among users. Under a general
correlated channel model, we demonstrate the gain of matching the subband size
to the underlying channel statistics motivating heterogeneous feedback design
with different subband sizes and feedback resources across clusters of users.
Employing the best-M partial feedback strategy, users with smaller subband size
would convey more partial feedback to match the frequency selectivity. In order
to develop an analytical framework to investigate the impact of partial
feedback and potential imperfections, we leverage the multi-cluster subband
fading model. The perfect feedback scenario is thoroughly analyzed, and the
closed form expression for the average sum rate is derived for the
heterogeneous partial feedback system. We proceed to examine the effect of
imperfections due to channel estimation error and feedback delay, which leads
to additional consideration of system outage. Two transmission strategies: the
fix rate and the variable rate, are considered for the outage analysis. We also
investigate how to adapt to the imperfections in order to maximize the average
goodput under heterogeneous partial feedback.Comment: To appear in IEEE Trans. on Signal Processin
Joint transceiver design for MIMO channel shortening.
Channel shortening equalizers can be employed
to shorten the effective impulse response of a long intersymbol
interference (ISI) channel in order, for example, to decrease the
computational complexity of a maximum-likelihood sequence
estimator (MLSE) or to increase the throughput efficiency of an
orthogonal frequency-division multiplexing (OFDM) transmission
scheme. In this paper, the issue of joint transmitter–receiver filter
design is addressed for shortening multiple-input multiple-output
(MIMO) ISI channels. A frequency-domain approach is adopted
for the transceiver design which is effectively equivalent to an
infinite-length time-domain design. A practical space–frequency
waterfilling algorithm is also provided. It is demonstrated that the
channel shortening equalizer designed according to the time-domain
approach suffers from an error-floor effect. However, the
proposed techniques are shown to overcome this problem and
outperform the time-domain channel shortening filter design. We
also demonstrate that the proposed transceiver design can be considered
as a MIMO broadband beamformer with constraints on
the time-domain multipath length. Hence, a significant diversity
gain could also be achieved by choosing strong eigenmodes of the
MIMO channel. It is also found that the proposed frequency-domain
methods have considerably low computational complexity as
compared with their time-domain counterparts
FGPA Implementation of Low-Complexity ICA Based Blind Multiple-Input-Multiple-Output OFDM Receivers
In this thesis Independent Component Analysis (ICA) based methods are used for blind detection in MIMO systems. ICA relies on higher order statistics (HOS) to recover the transmitted streams from the received mixture. Blind separation of the mixture is achieved based on the assumption of mutual statistical independence of the source streams. The use of HOS makes ICA methods less sensitive to Gaussian noise. ICA increase the spectral efficiency compared to conventional systems, without any training/pilot data required. ICA is usually used for blind source separation (BSS) from their mixtures by measuring non-Gaussianity using Kurtosis. Many scientific problems require FP arithmetic with high precision in their calculations. Moreover a large dynamic range of numbers is necessary for signal processing. FP arithmetic has the ability to automatically scale numbers and allows numbers to be represented in a wider range than fixed-point arithmetic. Nevertheless, FP algorithm is difficult to implement on the FPGA, because the algorithm is so complex that the area (logic elements) of FPGA leads to excessive consumption when implemented. A simplified 32-bit FP implementation includes adder, Subtractor, multiplier, divider, and square rooter The FPGA design is based on a hierarchical concept, and the experimental results of the design are presented