Proceedings ArticleDOI
Low Complexity 2D Adaptive Channel Estimation for OFDM Based Two-Way Relay Systems
Arun Joy,Vijay Kumar Chakka +1 more
- pp 192-197
TLDR
A low complexity adaptive channel estimation technique for OFDM based two-way relay systems based on the Decision Directed (DD) principle that considers the correlation of the channel frequency response in both time and frequency, while estimating the channel.Abstract:
This paper introduces a low complexity adaptive channel estimation technique for OFDM based two-way relay systems. The adaptive filter used is known as Group Fast Array Multichannel 2D-Recursive Least Square (GFAM 2DRLS) filter. It has a computational complexity comparable to that of 2D-Normalized Least Mean Square (2D-NLMS) algorithm while maintaining the same convergence rate as the classic 2D Recursive Least Square (2D-RLS) algorithm. It considers the correlation of the channel frequency response in both time and frequency, while estimating the channel. In order to reduce the number of training data for time varying channel, the channel estimation is carried out based on the Decision Directed (DD) principle. It is assumed that the relay is capable of performing complex signal processing tasks. Hence the channel estimation is performed at the relay. Since the Channel State Information (CSI) is available at the relay, it could perform Multiple Input Multiple Output (MIMO) precoding of the transmitted data. Hence CSI is not required at the transmitting nodes. The convergence rate of GFAM 2D-RLS is compared with the existing 2D-NLMS algorithm and the computational complexity at each iteration is tabulated. Simulations are performed using MATLAB.read more
Citations
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Patent
Computing system with channel estimation mechanism and method of operation thereof
TL;DR: In this article, a computing system includes an inter-device interface configured to receive receiver signal for communicating serving content through a communication channel; a communication unit coupled to the interdevice interface, configured to calculate a weighting set corresponding to a modular estimation mechanism, and generate a channel estimate based on the weighting sets for characterizing the communication channel for recovering the serving content.
Proceedings ArticleDOI
Performance study of BFAM 2D-RLS channel estimator for AOFDM based two-way relay
Arun Joy,Vijay Kumar Chakka +1 more
TL;DR: An adaptive channel estimation scheme for two-way relay with node capability and the effect of channel estimation error on performance of Adaptive OFDM (AOFDM) is analyzed for pedestrian A (pedA) channel.
Proceedings ArticleDOI
AOFDM based two-way relay systems
Arun Joy,Vijay Kumar Chakka +1 more
TL;DR: This paper proposes a simple method to obtain the individual channel assuming that the estimate of combined channel is available and the general frame work provided can be used to implement other loading algorithms for two-way relay systems.
Proceedings ArticleDOI
BFAM 2D-RLS channel estimation for frequency selective environment in two-way relay
Arun Joy,Vijay Kumar Chakka +1 more
TL;DR: An adaptive channel estimation scheme for Amplify and Forward (AF) two-way relay systems with frequency selective and fast varying channels is proposed and the performance of BFAM 2D-RLS filter in estimating fast varying Vehicular-A (Veh-A) channel is analysed.
Journal ArticleDOI
Design of optimal FBMC subcarrier index modulation based on optimal prototype filter
TL;DR: A prototype filter design for Filter Bank Multicarrier (FBMC) system based on convex optimization to explore a superior quality of spectrum features without compromising the symbol reconstruction quality is proposed.
References
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TL;DR: In this article, the authors discuss each block of wireless link in detail including coding, modulation and the advanced topics such as multiplexing, mobile communication, software radio, OFDM and MIMO.
Journal ArticleDOI
Linear transmit processing in MIMO communications systems
TL;DR: The transmit filters are based on similar optimizations as the respective receive filters with an additional constraint for the transmit power and has similar convergence properties as the receive Wiener filter, i.e., it converges to the matched filter and the zero-forcing filter for low and high signal-to-noise ratio, respectively.