scholarly journals Multicarrier chaotic communications in multipath fading channels without channel estimation

AIP Advances ◽  
2015 ◽  
Vol 5 (1) ◽  
pp. 017139 ◽  
Author(s):  
Shilian Wang ◽  
Zhili Zhang
Keyword(s):  
Channel Estimation ◽  
Fading Channels ◽  
Multipath Fading ◽  
Multipath Fading Channels ◽  
Chaotic Communications

scholarly journals Simple Channel Estimation Techniques Based on Pilot-Assistance for STBC-Based MIMO-OFDM Systems

2009 ◽  
Author(s):  
Tran Duc Tan ◽  
Ta Duc Tuyen ◽  
Trinh Anh Vu ◽  
Huynh Huu Tue
Keyword(s):  
Channel Estimation ◽  
Fading Channels ◽  
Performance Improvement ◽  
Additive Noise ◽  
Multipath Fading ◽  
Ofdm Systems ◽  
Multipath Fading Channels ◽  
Pilot Assistance ◽  
Mimo Ofdm ◽  
High Flexibility

With equipping multiple antennas at both transmitter and receiver ends, the signals in the wireless OFDM systems could be transmitted over multipath fading channels for achieving benefits and high flexibility. In this paper, we focus on MIMO-OFDM systems that simultaneously perform channel estimation in order to combat additive noise, and multipath fading. The performance improvement is confirmed by simulations. Results show that the proposed MIMOOFDM scheme is quite robust in practical environments.

scholarly journals Pseudo Convex Framework using Sparse Channel Estimation for Multipath Fading Channels in DS-CDMA Systems

2020 ◽  
Vol 9 (5) ◽  
pp. 104-111
Keyword(s):  
Channel Estimation ◽  
Fading Channels ◽  
Mobile Communication ◽  
Rake Receiver ◽  
Multipath Fading ◽  
Estimation Technique ◽  
Multipath Fading Channels ◽  
Sparse Channel Estimation ◽  
Pseudo Convex ◽  
Sparse Channel

A Direct-Sequence Code-Division Multiple-Access (DS-CDMA) with rake receiver for multiuser system sets up a new dimension in mobile communication system. We propose a pseudo convex framework using an optimum sparse channel estimation technique for DS-CDMA mobile communication systems. Further, the blind channel estimation problem will be examined for rake-based DS-CDMA communication framework with time variant multi-path fading channels This receiver accomplishes an effective assessment of channel according to a maximum convexity criterion, by means of the sparse technique. This estimation method requires a convenient representation of the discrete multipath fading channel based on the sparse theory. In this paper, we have defined a specialized interior-point method for solving large-scale ℓ1 - problem in multiuser detection. Our method can be generalized to handle a variety of extensions such as various channel conditions. A new solution to DS-CDMA based sparse channel estimation is presented in this paper that assures a global optimal solution. Also, it is proven that the said solution can be used as an apparent program that shall enable solutions utilizing interior point techniques involving polynomial time complexity. Through simulation the rationality of the techniques proposed in this paper has been highlighted by results obtained for various modulation schemes and channel parameters. The execution of a pseudo convex framework using sparse channel estimation technique with rake receiver in DS-CDMA framework for multipath fading channels is explored. The overall performance is evaluated in terms of bit error rate (BER) for a range of values of signal to noise ratio (SNR). This framework gives better performance under various modulation schemes using pseudo noise (PN) spreading code. Furthermore, performance of the proposed system is compared with different detectors.

An Improved DFT-Based Channel Estimation Algorithm for OFDM System on Time-Varying Multipath Fading Channels

2014 ◽  
Vol 989-994 ◽  
pp. 3786-3789 ◽  
Author(s):  
Xin Li Ma ◽  
Tong Liang Fan ◽  
Yong Feng Du
Keyword(s):  
Channel Estimation ◽  
Fading Channels ◽  
Estimation Algorithm ◽  
Multipath Fading ◽  
Statistical Information ◽  
Time Varying ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Multipath Fading Channels ◽  
Suppress Noise

An improved discrete Fourier transform DFT-based channel estimation for OFDM systems is proposed. Conventional DFT-based channel estimator improved its performance by suppressing noise, but it does not completely suppress noise. In order to overcome the disadvantage, this paper proposed a gate method without requiring any channel statistical information. This method comprehensively considersthe effects of the power of the strongest path and the noises. Computer simulation demonstrates the performance of the proposed algorithms in terms of bit error rate.

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