My Account | Careers | Downloads | Blog

PROJECT TITLE :

Analysis of earth-to-satellite free-space optical link performance in the presence of turbulence, beam-wander induced pointing error and weather conditions for different intensity modulation schemes

ABSTRACT:

In this study, the authors evaluate the performance of an earth-to-satellite free-area optical link in terms of bit error rate (BER) for three intensity modulation (IM) schemes [on–off keying (OOK), M-ary pulse position modulation (M-PPM) and M-ary differential PPM (M-DPPM)] and direct detection receiver. The performance is analysed in the presence of atmospheric turbulence, beam-wander induced pointing error and atmospheric condition. Turbulence with beam wander impact is modelled using gamma-gamma distribution and the weather effects are incorporated using the Beer-Lambert law. They get closed type BER expressions for the above IM schemes using combined channel state likelihood density functions. They show that for the same average power, M-PPM offers the most effective performance, followed by M-DPPM and OOK schemes. Link performance degrades for all IM schemes with increase within the worth of ground level refractive index structure parameter and bit rate. Presence of atmospheric condition like moderate, light-weight and skinny fog increase signal attenuation and this increase might be terribly high in case of thick and dense fog or clouds and can cause link failure.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation ABSTRACT: The ability to precisely locate ground devices (GDs) is essential for a wide range of different applications,
PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network ABSTRACT: Because of the proliferation of wireless networks, wireless sensor networks
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry