Performance Analysis of Rayleigh and Rician Fading Channel Models using Matlab Simulation

Kumar, Sudhir; Gupta, P. K.; Singh, Ghanshyam; Chauhan, Durg Singh

doi:10.5815/ijisa.2013.09.11

Cited by 27 publications

(13 citation statements)

References 21 publications

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“…Due to the system constraint on transmit power, the average received SNR could not be reached at the desired level for the NLOS situation. The solid lines represent the simulation results over Rayleigh fading channels, the dashed lines represent the measurement results over LOS scenario, and the dotted lines represent the measurement results over NLOS [32], [33]. For the LOS situation, the measurement results provide better performance than the simulated results.…”

Section: Simulation and Measurement Resultsmentioning

confidence: 99%

Blind Symbol-Rate Estimation and Test Bed Implementation of Linearly Modulated Signals

Majhi

2015

IEEE Trans. Veh. Technol.

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Although several blind symbol-rate estimation methods have been proposed for linearly modulated signals, none of these methods are applicable to offset quadrature phase-shift keying (OQPSK)-modulated signals. The frequently used cyclic correlation (CC) methods are unable to estimate the symbol rate for OQPSK signals as the cyclic peak at the symbol-rate frequency disappears due to the presence of an offset between the in-phase (I) and quadrature (Q) components of OQPSK signals. In this paper, a blind symbol-rate estimation for linearly modulated signals has been proposed. The symbol rate of OQPSK signals has also been estimated with no knowledge of modulation schemes. The offset between I and Q components of the received signals is compensated for by using a set of approximate offsets in obtaining the cyclic peak at the symbol-rate frequency. The proposed estimation has a robust performance in the presence of unknown frequency offset, timing offset, and carrier phase. The algorithm is implemented on a test bed to provide experimental results.Index Terms-Baud rate estimation, blind symbol-rate estimation, cyclic correlation (CC), measurement, offset quadrature phase-shift keying (OQPSK), test statistics, test-bed implementation.

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Section: Simulation and Measurement Resultsmentioning

confidence: 99%

Blind Symbol-Rate Estimation and Test Bed Implementation of Linearly Modulated Signals

Majhi

2015

IEEE Trans. Veh. Technol.

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“…As it is clear from the Figure 1, that with increase in the threshold power, there is increase in outage probability i.e. decrease in probability for better detection of the signal [2].…”

Section: Performance Analysis: Rayleigh Fading Channel Modelmentioning

confidence: 90%

Performance Analysis of Rayleigh and Rician Fading Channel Model

Kaur¹,

Khanna²,

Gaba

2017

IJMUE

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“…Using the combining techniques the SNR versus graph has been calculated in Rayleigh and Rician channel with the help of MATLAB software [5,[11][12]. Figure 4 given below shows theoretical and simulated results of maximal ratio combining techniques in Rayleigh channel.…”

Section: Resultsmentioning

confidence: 99%

WBAN Mitigation method: Comparison of Diversity Techniques in fading

Sindhu

Vashisth

2017

JBEMI

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In WBAN various sensors and actuators are connected together either on the body, under the skin of person or on the clothes of the person. This network expands when the signals from the body are picked and sent over a wireless channel. The world that we live in has become very advanced, and hence it is required that the technology we use for communicating the signal should be very expeditious, i.e. our data carrying signals should profuse in excellently, so that data can be communicated without any intervention as the signals picked from body are of short range. But the data carrying signals that are relayed from one place to other often encounter various interferences in their path. One of the major problems in communicating wirelessly that has to be dealt with is fading. In WBAN if the signals can be captured with maximum information we can easily diagnose patient's disease for example; Cardiovascular diseases, diabetes control etc.Diversity is an important aspect that helps in dealing with the effects of fading. This paper focuses on the diversity techniques which is one of the popular mitigation methods; in different fading channels in WBAN. It also provides a comparative study of diversity techniques in fading channels with respect to AWGN channel.

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Performance Analysis of Rayleigh and Rician Fading Channel Models using Matlab Simulation

Cited by 27 publications

References 21 publications

Blind Symbol-Rate Estimation and Test Bed Implementation of Linearly Modulated Signals

Blind Symbol-Rate Estimation and Test Bed Implementation of Linearly Modulated Signals

Performance Analysis of Rayleigh and Rician Fading Channel Model

WBAN Mitigation method: Comparison of Diversity Techniques in fading

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