Low-Complexity Iterative Channel Estimation and Tracking for Time-Varying Multi-Antenna Systems

Download

index.pdf

Date

2009-09-16

Author

Yapici, Yavuz
Yılmaz, Ayşen

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

171
views

76
downloads

The iterative channel estimation and tracking problem is considered for time-varying frequency-flat fading multiinput multi-output (MIMO) systems. In order to jointly estimate and track the time-varying multi-antenna channel, the pilot symbol assisted modulation (PSAM) technique is generalized to the multi-antenna systems. By distributing the pilot symbols along the transmitted block, i.e., PSAM transmission, the proposed system gains the ability to track the channel variation with the same amount of pilots whereas the system with all the pilots are employed prior to the data block has no tracking capability. The error performance is further improved by iteratively estimating the channel which employs the optimal MMSE filtering and also makes use of the soft probabilities of the coded symbols provided by the decoder. In order to decrease the computational complexity due to the iterative usage of MMSE filtering, we introduce the low-complexity 2-way LMS algorithm based on the forward-backward operation of conventional forward only LMS algorithm. By simulations, 2-way LMS is shown to have a near optimal error performance and highly better channel tracking ability than the conventional LMS algorithm with no significant complexity increase.

Subject Keywords

Fading Channels, Modulation, Codes

URI

https://hdl.handle.net/11511/32495

DOI

https://doi.org/10.1109/pimrc.2009.5450125

Conference Name

20th IEEE Symposium on Personal, Indoor and Mobile Radio Communications

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Suggestions

OpenMETU
Core

Improvements in DOA estimation by array interpolation in non-uniform linear arrays Yaşar, Temel Kaya; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2006) In this thesis a new approach is proposed for non-uniform linear arrays (NLA) which employs conventional subspace methods to improve the direction of arrival (DOA) estimation performance. Uniform linear arrays (ULA) are composed of evenly spaced sensor elements located on a straight line. ULA's covariance matrix have a Vandermonde matrix structure, which is required by fast subspace DOA estimation algorithms. NLA differ from ULA only by some missing sensor elements. These missing elements cause some gaps in...
Effect of water-filling method on the PAPR for OFDM and MIMO systems Vural, Mehmet; Akta, Tugcan; Yılmaz, Ali Özgür (2007-06-13) In this paper, the peak-to-average power ratio (PAPR) problem for orthogonal frequency division multiplexing (OFDM) is investigated. The variations in the nature of the problem along with the utilization of water-filling technique are observed and the corresponding cumulative distribution function for PAPR is determined. In addition to OFDM analysis, another analysis is carried out for the comparison of water-filling technique and an equal power distribution algorithm in case of a multiple input multiple ou...
Improvements to neural network based restoration in optical networks Türk, Fethi; Bilgen, Semih; Department of Electrical and Electronics Engineering (2008) Performance of neural network based restoration of optical networks is evaluated and a few possible improvements are proposed. Neural network based restoration is simulated with optical link capacities assigned by a new method. Two new improvement methods are developed to reduce the neural network size and the restoration time of severed optical connections. Cycle based restoration is suggested, which reduces the neural network structure by restoring the severed connections for each optical node, iterativel...
Radar pulse repetition interval tracking with kalman filter Avcu, Soner; Demirbaş, Kerim; Department of Electrical and Electronics Engineering (2006) In this thesis, the radar pulse repetition interval (PRI) tracking with Kalman Filter problem is investigated. The most common types of PRIs are constant PRI, step (jittered) PRI, staggered PRI, sinusoidally modulated PRI. This thesis considers the step (this type of PRI agility is called as constant PRI when the jitter on PRI values is eliminated) and staggered PRI cases. Different algorithms have been developed for tracking step and staggered PRIs cases. Some useful simplifications are obtained in the alg...
Cut-off Rate based Outage Probability Analysis of Frequency Hopping Mobile Radio under Jamming Conditions Güvensen, Gökhan Muzaffer; Tanık, Yalçın; Yılmaz, Ali Özgür (2010-11-03) This paper deals with the achievable spectral efficiency and outage analysis of short burst frequency hopping (FH) mobile radios under heavy jamming scenarios. With the use of outage probability analysis based on cut-off rate, the maximum spectral efficiency (bits / dimension) and the required number of radio frequency bursts (RFB) (or degrees of freedom) is determined in order to transmit a message reliably for a given target outage probability, number of information bits (message information length) and c...

Citation Formats

Y. Yapici and A. Yılmaz, “Low-Complexity Iterative Channel Estimation and Tracking for Time-Varying Multi-Antenna Systems,” presented at the 20th IEEE Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, JAPAN, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32495.