Channel modeling and estimation of polarized mimo for land mobile satellite systems

Aparna, M.; Vineetha, P.; Kirthiga, S

doi:10.1109/icacci.2017.8125857

Cited by 7 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The orthogonal space-time-polarization block code (OSTPBC) proposed by Wysocki and Wysocki 29 for terrestrial systems. This was extended to the satellite broadcasting context by Vineetha and Kirthiga 30 and Aparna et al 31 3. The USTLD system proposed by Xu et al 32 for terrestrial systems.…”

Section: Error Performance Of Proposed Systemmentioning

confidence: 97%

“…Among these was the orthogonal space-time-polarization block code (OSTPBC) proposed by Wysocki and Wysocki, 29 which enhanced the Alamouti OSTBC by incorporating polarization diversity. The OSTPBC was extended to the context of satellite broadcast systems by Vineetha and Kirthiga 30 and Aparna et al 31 Another notable enhancement to the terrestrial Alamouti scheme is the uncoded space-time labeling diversity (USTLD) system proposed by Xu et al 32 This was recently extended to satellite broadcast systems by Quazi and Patel. 33 The preceding discussion mentions that previous works improved upon the Alamouti OSTBC by incorporating either polarization diversity or labeling diversity, and have been studied for both terrestrial and satellite contexts.…”

Section: Motivation For Researchmentioning

confidence: 99%

“…Recalling that 𝛽 j,k = |G j,k |, the variance of 𝛽 j,k is obtained by performing elementary manipulation to (31) and following a similar process to (18). The final result for the variance 𝜎 2 𝛽 j,k is given by:…”

Section: Correlated Error Performancementioning

confidence: 99%

“…27,32,38 For the STPLD system, theoretical results are obtained from (23). A theoretical expression for the BER performance of the OSTPBC is not explicitly shown in literature, [29][30][31] however one can be obtained from ( 23) by exploiting the similarity in the structure of the STPLD and OSTPBC systems. This is accomplished by setting 𝜔 1 = 𝜔 2 in (12) and substituting the result back into (23).…”

Section: Error Performance Of Proposed Systemmentioning

confidence: 99%

See 3 more Smart Citations

A multiple‐input, multiple‐output broadcasting system with space, time, polarization, and labeling diversity

Patel

Quazi

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Enhancing the reliability of wireless links plays an important role in addressing the digital divide between under-developed and developed nations. Diversity techniques are used in wireless communication to improve link reliability. This article presents a broadcasting system that incorporates space, time, polarization and labeling diversity. The key challenge in incorporating labeling diversity into a system is the design of appropriate bit-to-symbol mappers. The latest technique to designing bit-to-symbol mappers is to use a genetic algorithm approach, which is applicable to any generic modulation scheme. This article presents a modified genetic algorithm mapper design algorithm based on recent advances in labeling diversity evaluation theory. The proposed system is studied under ideal (uncorrelated) conditions, as well as in the presence of inter-beam and inter-antenna inference (correlated conditions). Analytical expressions are presented to model both the correlated and uncorrelated systems, and are verified via Monte Carlo simulations. When compared to the best comparable scheme at a bit-error-rate of 10 −6 , results show that the proposed system improves performance by ≈7 dB for a 2 × 2 16APSK system configuration, and by ≈5 dB for both 2 × 4 32APSK and 2 × 2 64APSK system configurations.Results also show that the proposed system is highly sensitive to correlation at the transmitting node. In particular, transmit-side correlation degrades link reliability by 4 orders of magnitude for the 2 × 3 8APSK configuration studied at 25 dB.

show abstract

Section: Error Performance Of Proposed Systemmentioning

confidence: 97%

Section: Motivation For Researchmentioning

confidence: 99%

Section: Correlated Error Performancementioning

confidence: 99%

Section: Error Performance Of Proposed Systemmentioning

confidence: 99%

See 2 more Smart Citations

A multiple‐input, multiple‐output broadcasting system with space, time, polarization, and labeling diversity

Patel

Quazi

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Previous studies [8][9][10] discuss the simplicity and robustness of the least mean square (LMS) and minimum mean square error (MMSE) algorithms based on the AWGN model. However, the performance of these estimators deteriorates due to interpolation error when the density of the pilots is decreased.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Time-Domain Channel Estimation in Gaussian Mixture Model

Khan

Rauf

Jilani

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The performance of time-domain channel estimation deteriorates due to the presence of Gaussian mixture model (GMM) noise, which results in high mean squared error (MSE) as a challenging issue. The performance of the estimator further decreases when the complexity of the estimator is high due to the high convergence rate. In this paper, an optimized channel estimation method is proposed with low complexity and high accuracy in the GMM environment. In this channel estimation, an improved Gauss-Seidel iterative method is utilized with a minimum number of iterations. The convergence rate of the Gauss-Seidel method is improved by estimating an appropriate initial guess value when no guard bands are used in the orthogonal frequency-division multiplexing (OFDM) symbol. Simulation results provide an acceptable MSE for GMM environments, up to the probability of 5% impulsive noise component. This paper also presents the design and implementation of the proposed estimator in the NEXYS-2 FPGA platform that provides resources allocation, reconfigurability, schematic, and the timing diagram for detailed insight.

show abstract

Emulation of Channel Model and Estimation for MIMO based Satellite Land Mobile System using Software Defined Radio

Pandey

Gandhiraj

Kirthiga

et al. 2018

Procedia Computer Science

View full text Add to dashboard Cite

Channel modeling and estimation of polarized mimo for land mobile satellite systems

Cited by 7 publications

References 11 publications

A multiple‐input, multiple‐output broadcasting system with space, time, polarization, and labeling diversity

A multiple‐input, multiple‐output broadcasting system with space, time, polarization, and labeling diversity

FPGA-Based Time-Domain Channel Estimation in Gaussian Mixture Model

Emulation of Channel Model and Estimation for MIMO based Satellite Land Mobile System using Software Defined Radio

Contact Info

Product

Resources

About