[PDF] Top 20 STBC-OFDM using Compressive Sensing Theory for Wireless Systems

... practice, wireless communications channels are time varying or frequency selective especially for broadband and mobile ...[12-14]. OFDM can reduce the effect of frequency selective ...in OFDM, the ... See full document

... This section gives the simulation result of CP-OFDM in context with the compressive sensing theory. The channel used for transmission is Rayleigh channel. This comparison is done in order to ... See full document

... broadband wireless communication networks due to its resistance to interblock interference (IBI) caused by frequency-selective multipath fading ...of OFDM systems relies on the orthogonality property ... See full document

... broadband wireless access on HSRs, also known as train-ground communication has become a hot ...broadband wireless access for high-speed railway has become an urgent ...existing wireless net- work of ... See full document

... modern wireless communications, which trade-off superior error performance and higher data rates for increased system complexity and ...(SISO) systems, and robust error performance even in correlated ... See full document

... the theory of compressive sensing, which illustrates that if the sparsity increases, the required observations should be increased in order to ensure the channel estimation ... See full document

... of STBC-OFDM system is done by using a combination of auxiliary subspace pursuit (ASP) and priori aided iterative hard threshold (PAIHT) ...By using ASP algorithm, coarse channel path delay is ... See full document

... Compressive sensing has made a great impression in the signal processing and broadcasting community, where besides an intriguing theory it offers versatile applicability to many challenging ...of ... See full document

... in wireless communication systems due to its ability to maintain effective transmission and highly efficient bandwidth utilization in the presence of various channel impairments which one of them is ... See full document

... 1) Wireless Sensor Networks: The efficient data gathering schemes based on CS has been proposed for wireless sensor networks (WSN) in exploiting raw data compressibility using opportunistic ...These ... See full document

... therein exists an algorithm called Least Square[ 4] , simple in structure and low in computational complexity, through a way of estimating the channel information from pilot first and then refactoring the channel ... See full document

... This work aims to study the effect of unwanted peaks and enhance the performance of wireless systems on the basis of tackling such peaks. A new proposition has been made based on wavelet transform method ... See full document

... In this section, the performance of different channel es- timation techniques is simulated and later the proposed scheme performance is analyzed on the basis of the key VLC parameters. The comparison of LS, OMP, SAMP, ... See full document

... process. Using the health information of the nodes in the network, the sink maintains a health status table of all the sensors in the ...compressed sensing reconstruction, sink feedbacks the average ... See full document

... Ruitao Xie and Xiaohua Jia, Fellow, IEEE, Computer Society’ Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing’in 2014, proposes a clustering method that ... See full document

... Since, wireless communication has a broadcast nature and uses a frequency spectrum of elec- tromagnetic waves, it has limitations of spectrum availability, limited capacity, service quality uncertainties and ... See full document

... MIMO systems, in this paper, we propose an improved channel estimation scheme based on the the- ory of Bayesian CS (BCS) that introduces relevance vector machines (RVM) and statistical learning information (SLI) ... See full document

... the STBC based OFDM Framework over Recurrence Specific Channel" In this paper, the channel estimation method for space time square code (STBC) in light of multi-input multi-yield (MIMO) ... See full document

... spectrum sensing, spectral signals naturally ex- ploit a sparsity property in frequency domain due to low utilization of spectrum [5], [6], which enables sub-Nyquist sampling on cog- nitive ...MIMO systems, ... See full document

... in compressive sensing, one needs a dedicated parallel hardware implementation of reconstruction ...done using analog, digital, or combined analog and digital ... See full document