Quantifying The Improvement of MMSE Equalizers by Faster Sampling Rates

Balevi, Eren
Yılmaz, Ali Özgür
The efficiency of faster than symbol rate sampled MMSE equalizers, which is generally considered as a remedy to time or phase errors, is explicitly analyzed accounting for practical channel conditions and pulse shaping filter. The simulation results illustrate that the advantage of faster than symbol rate sampling is always present for the finite block length ISI channel even if perfect time information is available. Block length is the key parameter that affects the performance such that there is a high SNR improvement with smaller block lengths in comparison to the conventional symbol rate sampled MMSE equalizers. Other parameters such as excess bandwidth and power delay profile have influence on the performance of faster than symbol rate sampled MMSE equalizers.


Joint spatial and temporal channel-shortening techniques for frequency selective fading MIMO channels
Toker, Canan; Chambers, JA; Baykal, Buyurman (2005-02-01)
It is well understood that the maximum likelihood estimator is a powerful equalisation technique for frequency selective fading channels, and in particular for MIMO systems. The complexity of this estimator, however, grows exponentially with the number of users and multipath taps, hence limiting the use of this algorithm in MIMO systems. In the paper, the authors propose a joint spatial and temporal channel-shortening filter as a pre-processor to reduce significantly the complexity of a maximum likelihood e...
A Novel Practical CP Based Mismatched MMSE Equalization
Balevi, Eren; Yılmaz, Ali Özgür (2017-03-22)
Faster than symbol rate (FTSR) sampling is necessary once practical non-adaptive analog front-end filter and excess bandwidth are employed in case of unequally spaced channel taps. Based on this a novel FTSR sampled mismatched minimum mean square error (MMSE) time domain equalization (TDE) is proposed in response to cyclic prefix (CP) based block transmissions. Our results show that the proposed MMSE TDE implementation nearly introduces 3dB signal-to-noise ratio (SNR) advantage with respect to conventional ...
Interference mitigation in multiuser communication by faster than symbol rate sampling
Balevi, Eren; Yılmaz, Ali Özgür (2017-12-01)
The degrees of freedom (DoF) gain due to excess bandwidth is lost in case of Symbol Rate (SR) sampling where Faster than Symbol Rate (FTSR) sampling emerges as a promising approach to exploit this gain. In this direction, FTSR sampling is studied to increase the total number of users in a network for a given fixed bandwidth. The rank analysis indicates that FTSR sampling brings rank advantage proportional to the excess bandwidth for unequally spaced channel taps. With the help of an iterative FTSR sampled M...
Simultaneous adaptation of the process and measurement noise covariances for the UKF applied to nanosatellite attitude estimation
Söken, Halil Ersin; Sakai, Shin-Ichiro (2014-01-01)
© IFAC.A common technique for improving the estimation performance of the Kalman filter and making the filter robust against any kind of faults is to adapt its process and measurement noise covariance matrices. Although there are numerous approaches for the adaptation such as full estimation or scaling, simultaneous adaptation of these two matrices is an ongoing discussion. In this paper, firstly, two common problems for the attitude estimation of a nanosatellite are solved by adapting the process and noise...
Estimation of pico-satellite attitude dynamics and external torques via Unscented Kalman Filter
Söken, Halil Ersin (FapUNIFESP (SciELO), 2014-01-01)
In this study, an Unscented Kalman Filter (UKF) algorithm is designed for estimating the attitude of a picosatellite and the in-orbit external disturbance torques. The estimation vector is formed by the satellite's attitude, angular rates, and the unknown constant components of the external disturbance torques acting on the satellite. The gravity gradient torque, residual magnetic moment, sun radiation pressure and aerodynamic drag are all included in the estimated external disturbance torque vector. The sa...
Citation Formats
E. Balevi and A. Ö. Yılmaz, “Quantifying The Improvement of MMSE Equalizers by Faster Sampling Rates,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52522.